IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
On Demand Bandwidth Reservation for Real- Time Traffic in Cellular IP Network...IDES Editor
As real-time traffic requires more attention, it
is given priority over non-real-time traffic in Cellular IP
networks. Bandwidth reservation is often applied to serve
such traffic in order to achieve better Quality of Service
(QoS). Evolutionary Algorithms are quite useful in
solving optimization problems of such nature. This paper
employs Genetic Algorithm (GA) for bandwidth
management in Cellular IP network. It compares the
performance of the model with another model used for
optimizing Connection Dropping Probability (CDP) using
Particle Swarm Optimization (PSO). Both models, GA
based and PSO based, try to minimize the Connection
Dropping Probability for real-time users in the network
by searching the free available bandwidth in the user’s
cell or in the neighbor cells and assigning it to the realtime
users. Alternatively, if the free bandwidth is not
available, the model borrows the bandwidth from nonreal
time-users and gives it to the real-time users.
Experimental results evaluate the performance of the GA
based model. The comparative study between both the
models indicates that GA based model has an edge over
the PSO based one.
Peer to peer cache resolution mechanism for mobile ad hoc networksijwmn
In this paper we investigate the problem of cache resolution in a mobile peer to peer ad hoc network. In our
vision cache resolution should satisfy the following requirements: (i) it should result in low message
overhead and (ii) the information should be retrieved with minimum delay. In this paper, we show that
these goals can be achieved by splitting the one hop neighbours in to two sets based on the transmission
range. The proposed approach reduces the number of messages flooded in to the network to find the
requested data. This scheme is fully distributed and comes at very low cost in terms of cache overhead. The
experimental results gives a promising result based on the metrics of studies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
On Demand Bandwidth Reservation for Real- Time Traffic in Cellular IP Network...IDES Editor
As real-time traffic requires more attention, it
is given priority over non-real-time traffic in Cellular IP
networks. Bandwidth reservation is often applied to serve
such traffic in order to achieve better Quality of Service
(QoS). Evolutionary Algorithms are quite useful in
solving optimization problems of such nature. This paper
employs Genetic Algorithm (GA) for bandwidth
management in Cellular IP network. It compares the
performance of the model with another model used for
optimizing Connection Dropping Probability (CDP) using
Particle Swarm Optimization (PSO). Both models, GA
based and PSO based, try to minimize the Connection
Dropping Probability for real-time users in the network
by searching the free available bandwidth in the user’s
cell or in the neighbor cells and assigning it to the realtime
users. Alternatively, if the free bandwidth is not
available, the model borrows the bandwidth from nonreal
time-users and gives it to the real-time users.
Experimental results evaluate the performance of the GA
based model. The comparative study between both the
models indicates that GA based model has an edge over
the PSO based one.
Peer to peer cache resolution mechanism for mobile ad hoc networksijwmn
In this paper we investigate the problem of cache resolution in a mobile peer to peer ad hoc network. In our
vision cache resolution should satisfy the following requirements: (i) it should result in low message
overhead and (ii) the information should be retrieved with minimum delay. In this paper, we show that
these goals can be achieved by splitting the one hop neighbours in to two sets based on the transmission
range. The proposed approach reduces the number of messages flooded in to the network to find the
requested data. This scheme is fully distributed and comes at very low cost in terms of cache overhead. The
experimental results gives a promising result based on the metrics of studies
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A novel cache resolution technique for cooperative caching in wireless mobile...csandit
Cooperative caching is used in mobile ad hoc networks to reduce the latency perceived by the
mobile clients while retrieving data and to reduce the traffic load in the network. Caching also
increases the availability of data due to server disconnections. The implementation of a
cooperative caching technique essentially involves four major design considerations (i) cache
placement and resolution, which decides where to place and how to locate the cached data (ii)
Cache admission control which decides the data to be cached (iii) Cache replacement which
makes the replacement decision when the cache is full and (iv) consistency maintenance, i.e.
maintaining consistency between the data in server and cache. In this paper we propose an
effective cache resolution technique, which reduces the number of messages flooded in to the
network to find the requested data. The experimental results gives a promising result based on
the metrics of studies.
Inhibition of Copper Corrosion by Arylazotriazoles in Nitric Acid Solution Al Baha University
. A study has been made to investigate the effect of some azoheterocyclic dyes of the type 3-arylazo 1,2,4-triazole (AT) on the corrosion of copper exposed to 0.5M nitric acid solution at different temperatures and at different AT concentrations. Using potentiodynamic polarization and Tafel electrochemical methods, it can be shown that AT compounds are good inhibitors of copper corrosion in HNO 3 solution. The kinetic and thermodynamic parameters of the inhibited system were determined. The high inhibition efficiency of these compounds may be due to the adsorption of the additive itself and/or the adsorption of the formed Cu(II)-AT complexes at the polarized electrode interface. Cathodic polarization measurements showed that AT dyes are predominantly cationic inhibitor
Instant GMP Compliance Series -Better Compliance through Master Manufacturing...InstantGMP™
FDA inspections are increasing every year and they have published the results on their website. 50% of dietary supplement manufacturers are not in GMP compliance and 1 in 4 dietary supplement companies have received a warning letter which could result in a significant enforcement action such as halting production and distribution. Many of these producers received citation because they were not using Master Manufacturing Records.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A novel cache resolution technique for cooperative caching in wireless mobile...csandit
Cooperative caching is used in mobile ad hoc networks to reduce the latency perceived by the
mobile clients while retrieving data and to reduce the traffic load in the network. Caching also
increases the availability of data due to server disconnections. The implementation of a
cooperative caching technique essentially involves four major design considerations (i) cache
placement and resolution, which decides where to place and how to locate the cached data (ii)
Cache admission control which decides the data to be cached (iii) Cache replacement which
makes the replacement decision when the cache is full and (iv) consistency maintenance, i.e.
maintaining consistency between the data in server and cache. In this paper we propose an
effective cache resolution technique, which reduces the number of messages flooded in to the
network to find the requested data. The experimental results gives a promising result based on
the metrics of studies.
Inhibition of Copper Corrosion by Arylazotriazoles in Nitric Acid Solution Al Baha University
. A study has been made to investigate the effect of some azoheterocyclic dyes of the type 3-arylazo 1,2,4-triazole (AT) on the corrosion of copper exposed to 0.5M nitric acid solution at different temperatures and at different AT concentrations. Using potentiodynamic polarization and Tafel electrochemical methods, it can be shown that AT compounds are good inhibitors of copper corrosion in HNO 3 solution. The kinetic and thermodynamic parameters of the inhibited system were determined. The high inhibition efficiency of these compounds may be due to the adsorption of the additive itself and/or the adsorption of the formed Cu(II)-AT complexes at the polarized electrode interface. Cathodic polarization measurements showed that AT dyes are predominantly cationic inhibitor
Instant GMP Compliance Series -Better Compliance through Master Manufacturing...InstantGMP™
FDA inspections are increasing every year and they have published the results on their website. 50% of dietary supplement manufacturers are not in GMP compliance and 1 in 4 dietary supplement companies have received a warning letter which could result in a significant enforcement action such as halting production and distribution. Many of these producers received citation because they were not using Master Manufacturing Records.
AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...acijjournal
ABSTRACT
Measurements of retinal blood vessel morphology have been shown to be related to the risk of cardiovascular diseases. The wrong identification of vessels may result in a large variation of these measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of automatically identifying true vessels as a post processing step to vascular structure segmentation. We model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images. Experiment results are analyzed with respect to actual measurements of vessel morphology. The results show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.
AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...acijjournal
Measurements of retinal blood vessel morphology have been shown to be related to the risk of
cardiovascular diseases. The wrong identification of vessels may result in a large variation of these
measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of
automatically identifying true vessels as a post processing step to vascular structure segmentation. We
model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying
vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to
solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images.
Experiment results are analyzed with respect to actual measurements of vessel morphology. The results
show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true
vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.
Novel Class Detection Using RBF SVM Kernel from Feature Evolving Data Streamsirjes
In the data mining field the classification of data stream creates many problems. The challenges
faces in the data stream are infinite length, concept drift, concept evaluation and feature evolution. Most of the
existing system focuses on the only first two challenges. We propose a framework in which each classifier is
prepared with the novel class detector for addressing the two challenges concept drift and concept evaluation
and for addressing the feature evolution feature set homogeneous technique is proposed. We improved the
novel class detection module by building it more adaptive to evolving the stream. SVM based feature extraction
for RBF kernel method is also proposed for detecting the novel class from the steaming data. By using the
concept of permutation and combination RBF kernel extracts the features and find out the relation between
them. This improves the novel class detect technique and provide more accuracy for classifying the data
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
JAVA 2013 IEEE DATAMINING PROJECT Distributed web systems performance forecas...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IDENTIFICATION AND INVESTIGATION OF THE USER SESSION FOR LAN CONNECTIVITY VIA...ijcseit
This paper mainly presents some technical discussions on the identification and analyze of “LAN usersessions”.
The identification of a user-session is non trivial. Classical methods approaches rely on
threshold based mechanisms. Threshold based techniques are very sensitive to the value chosen for the
threshold, which may be difficult to set correctly. Clustering techniques are used to define a novel
methodology to identify LAN user-sessions without requiring an a priori definition of threshold values. We
have defined a clustering based approach in detail, and also we discussed positive and negative of this
approach, and we apply it to real traffic traces. The proposed methodology is applied to artificially
generated traces to evaluate its benefits against traditional threshold based approaches. We also analyzed
the characteristics of user-sessions extracted by the clustering methodology from real traces and study
their statistical properties.
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Reconstruction of Objects with VSN M.Priscilla - UG Scholar,
B.Nandhini - UG Scholar,
S.Manju - UG Scholar,
S.Shafiqa Shalaysha – UG Scholar,
Christo Ananth - Assistant Professor,
Department of ECE,
Francis Xavier Engineering College, Tirunelveli, India
M.Phil Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.Phil Computer Science students.
M.E Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.E Computer Science students.
M.Phil Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.Phil Computer Science students.
M.E Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.E Computer Science students.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
"Protectable subject matters, Protection in biotechnology, Protection of othe...
IEEE 2014 Java Projects
1. IEEE 2014 Java Projects
Web : www.kasanpro.com Email : sales@kasanpro.com
List Link : http://kasanpro.com/projects-list/ieee-2014-java-projects
Title :Brain Tumor Detection using Region based Iterative Reconstruction and Segmentation
Language : Java
Project Link : http://kasanpro.com/p/java/brain-tumor-detection-region-based-iterative-reconstruction-segmentation
Abstract : X-ray computed tomography (CT) is a powerful tool for noninvasive imaging of time-varying objects.
Identifiying tumors from the CT image is a chalanging one. In this paper we proposed a reconstruct method for CT
image and tumors are detected then using edge based segmentation algorithm.. In the past, methods have been
proposed to reconstruct images from continuously changing objects. For discretely or structurally changing objects,
however, such methods fail to reconstruct high quality images, mainly because assumptions about continuity are no
longer valid. In this paper, we propose a method to reconstruct structurally changing objects. Starting from the
observation that there exist regions within the scanned object that remain unchanged over time, we introduce an
iterative optimization routine that can automatically determine these regions and incorporate this knowledge in an
algebraic reconstruction method. And tumor detection was made from the reconstructed image.
Title :Change Detection of Hyper Spectral Remote Sensing Image by Multilevel Image Segmentation
Language : Java
Project Link :
http://kasanpro.com/p/java/change-detection-hyper-spectral-remote-sensing-image-multilevel-image-segmentation
Abstract : Land cover composition and change are important factors that affect ecosystem condition and function.
Remote sensing is the most important and effective way to acquire data of land cover. The paper proposes an
Improved Change detection with Hyperspectral remote sensing images. Hyperspectral remote sensing images
contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design
accurate and efficient image segmentation algorithms for such imagery. In this paper, a new multilevel thresholding
method is introduced for the seg- mentation of hyperspectral and multispectral images. The new method is based on
fractional-order Darwinian particle swarm optimization (FODPSO) which exploits the many swarms of test solutions
that may exist at any time. In addition, the concept of fractional derivative is used to control the convergence rate of
particles. And finally Post-classification Comparison Change Detection applied which is the most commonly used
quantitative method of change detection.
Title :Automatic graph based approach for prior detection of diabetes and hypertension in retinal images
Language : Java
Project Link :
http://kasanpro.com/p/java/automatic-graph-based-prior-detection-diabetes-hypertension-retinal-images
Abstract : Retinal vessels are affected by several systemic diseases, namely diabetes, hypertension, and vascular
disorders. In diabetic retinopathy, the blood vessels often show abnormalities at early stages, as well as vessel
diameter alterations . Changes in retinal blood vessels, such as significant dilatation and elongation of main arteries,
veins, and their branches are also frequently associated with hypertension and other cardiovascular pathologies. The
classification of retinal vessels into artery/vein (A/V) is an important phase for automating the detection of vascular
changes, and for the calculation of characteristic signs associated with several systemic diseases such as diabetes,
hypertension, and other cardiovascular conditions. This paper presents an automatic approach for A/V classification
based on the analysis of a graph extracted from the retinal vasculature. The proposed method classifies the entire
vascular tree deciding on the type of each intersection point (graph nodes) and assigning one of two labels to each
vessel segment (graph links). Final classification of a vessel segment as A/V is performed through the combination of
the graph-based labeling results with a set of intensity features. The features were extracted, including exudates,
bifurcation angle, artery-to-veins diameter ratio, mean artery and veins diameters, form and size of optic disc, and
vessel tortuosity. And the identification of diabetes are made by the rule based conditions.
2. Title :Ontology-based annotation and retrieval of services in the cloud
Language : Java
Project Link : http://kasanpro.com/p/java/ontology-based-annotation-retrieval-services-cloud
Abstract : Cloud computing is a technological paradigm that permits computing services to be offered over the
Internet. This new service model is closely related to previous well-known distributed computing initiatives such as
Web services and grid computing. In the current socio-economic climate, the affordability of cloud computing has
made it one of the most popular recent innovations. This has led to the availability of more and more cloud services,
as a consequence of which it is becoming increasingly difficult for service consumers to find and access those cloud
services that fulfil their requirements. In this paper, we present a semantically-enhanced platform that will assist in the
process of discovering the cloud services that best match user needs. This fully-fledged system encompasses two
basic functions: the creation of a repository with the semantic description of cloud services and the search for services
that accomplish the required expectations. The cloud service's semantic repository is generated by means of an
automatic tool that first annotates the cloud service descriptions with semantic content and then creates a semantic
vector for each service. The comprehensive evaluation of the tool in the ICT domain has led to very promising results
that outperform state-of-the-art solutions in similarly broad domains.
Title :Comprehensive Explanation of SLA Violations at Runtime
Language : Java
Project Link : http://kasanpro.com/p/java/comprehensive-explanation-sla-violations-runtime
Abstract : Service Level Agreements (SLAs) establish the Quality of Service (QoS) agreed between service-based
systems consumers and providers. Since the violation of such SLAs may involve penalties, quality assurance
techniques have been developed to supervise the SLAs fulfillment at runtime. However, existing proposals present
some drawbacks: 1) the SLAs they support are not expressive enough to model real-world scenarios, 2) they couple
the monitoring configuration to a given SLA specification, 3) the explanations of the violations are difficult to
understand and even potentially inaccurate, 4) some proposals either do not provide an architecture, or present low
cohesion within their elements. In this paper, we propose a comprehensive solution, from a conceptual reference
model to its design and implementation, that overcomes these drawbacks. The resulting platform, SALMonADA,
receives the SLA agreed between the parties as input and reports timely and comprehensive explanations of SLA
violations. SALMonADA performs an automated monitoring configuration and it analyses highly expressive SLAs by
means of a constraint satisfaction problems based technique. We have evaluated the impact of SALMonADA over the
resulting service consumption time performance. The results are satisfactory enough to consider SALMonADA for
SLA supervision because of its low intrusiveness.
IEEE 2014 Java Projects
Title :Region-Based Iterative Reconstruction of Structurally Changing Objects in CT
Language : Java
Project Link : http://kasanpro.com/p/java/region-based-iterative-reconstruction-structurally-changing-objects-ct
Abstract : X-ray computed tomography (CT) is a powerful tool for noninvasive imaging of time-varying objects. In the
past, methods have been proposed to reconstruct images from continuously changing objects. For discretely or
structurally changing objects, however, such methods fail to reconstruct high quality images, mainly because
assumptions about continuity are no longer valid. In this paper, we propose a method to reconstruct structurally
changing objects. Starting from the observation that there exist regions within the scanned object that remain
unchanged over time, we introduce an iterative optimization routine that can automatically determine these regions
and incorporate this knowledge in an algebraic reconstruction method. The proposed algorithm was validated on
simulation data and experimental ?CT data, illustrating its capability to reconstruct structurally changing objects more
accurately in comparison to current techniques.
Title :Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization
Language : Java
Project Link : http://kasanpro.com/p/java/multilevel-image-segmentation-based-particle-swarm-optimization
Abstract : Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality
of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such
imagery. In this paper, a new multilevel thresholding method is introduced for the segmentation of hyperspectral and
multispectral images. The new method is based on fractional-order Darwinian particle swarm optimization (FODPSO)
3. which exploits the many swarms of test solutions that may exist at any time. In addition, the concept of fractional
derivative is used to control the convergence rate of particles. In this paper, the so-called Otsu problem is solved for
each channel of the multispectral and hyperspectral data. Therefore, the problem of n-level thresholding is reduced to
an optimization problem in order to search for the thresholds that maximize the between-class variance. Experimental
results are favorable for the FODPSO when compared to other bioinspired methods for multilevel segmentation of
multispectral and hyperspectral images. The FODPSO presents a statistically significant improvement in terms of both
CPU time and fitness value, i.e., the approach is able to find the optimal set of thresholds with a larger between-class
variance in less computational time than the other approaches. In addition, a new classification approach based on
support vector machine (SVM) and FODPSO is introduced in this paper. Results confirm that the new segmentation
method is able to improve upon results obtained with the standard SVM in terms of classification accuracies.
Title :An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images
Language : Java
Project Link : http://kasanpro.com/p/java/an-automatic-graph-based-artery-vein-classification-retinal-images
Abstract : The classification of retinal vessels into artery/vein (A/V) is an important phase for automating the
detection of vascular changes, and for the calculation of characteristic signs associated with several systemic
diseases such as diabetes, hypertension, and other cardiovascular conditions. This paper presents an automatic
approach for A/V classification based on the analysis of a graph extracted from the retinal vasculature. The proposed
method classifies the entire vascular tree deciding on the type of each intersection point (graph nodes) and assigning
one of two labels to each vessel segment (graph links). Final classification of a vessel segment as A/V is performed
through the combination of the graph-based labeling results with a set of intensity features. The results of this
proposed method are compared with manual labeling for three public databases. Accuracy values of 88.3%, 87.4%,
and 89.8% are obtained for the images of the INSPIREAVR, DRIVE, and VICAVR databases, respectively. These
results demonstrate that our method outperforms recent approaches for A/V classification.
http://kasanpro.com/ieee/final-year-project-center-nagapattinam-reviews