Puertas de garaje: qué cuidados básicos necesitanPuertas Roper
Las puertas de garaje, cómo el resto de materiales y objetos que se encuentran expuestos al exterior, necesitan cuidados específicos y rutinarios para que alarguen su tiempo de vida útil
SMX 2016 | Parcours d'achats : Quelle place accorder au mobile pour booster v...Peak Ace
Avec plus de 200 consultations par jour et par personne, et 49% des requêtes effectuées sur mobile, les parcours clients n'ont jamais été aussi nombreux et complexes. Durant cette conférence nous répondrons aux questions qui nous semblent essentielles pour booster votre ROI : Votre site mobile répond-t-il aux critères actuels ? Le poids donné au mobile dans votre stratégie SEA est-il suffisant ? Exploitez-vous les bons formats d'annonces ? Et enfin, nous verrons comment assurer efficacement les performances mobile pour lui attribuer la place qu'il mérite.
Although majority of DNA in most eukaryotes is found in the nucleus,some DNA is present within the mitochondria also. Here, I have included the basics and importance of the Organelle/ Mitochondrial DNA which can help you in better understanding of the same.
Edge detection is one of the most frequent processes in digital image processing for various purposes, one of which is detecting road damage based on crack paths that can be checked using a Canny algorithm. This paper proposed a mobile application to detect cracks in the road and with customized threshold function in the requests to produce useful and accurate edge detection. The experimental results show that the use of threshold function in a canny algorithm can detect better damage in the road
Algorithmic Techniques for Parametric Model RecoveryCurvSurf
A complete description of algorithmic techniques for automatic feature extraction from point cloud. The orthogonal distance fitting, an art of maximum liklihood estimation, plays the main role. Differential geometry determines the type of object surface.
SURVEY ON POLYGONAL APPROXIMATION TECHNIQUES FOR DIGITAL PLANAR CURVESZac Darcy
Polygon approximation plays a vital role in abquitious applications like multimedia, geographic and object
recognition. An extensive number of polygonal approximation techniques for digital planar curves have
been proposed over the last decade, but there are no survey papers on recently proposed techniques.
Polygon is a collection of edges and vertices. Objects are represented using edges and vertices or contour
points (ie. polygon). Polygonal approximation is representing the object with less number of dominant
points (less number of edges and vertices). Polygon approximation results in less computational speed and
memory usage. This paper deals with comparative study on polygonal approximation techniques for digital
planar curves with respect to their computation and efficiency.
Pavement Marking Visibility from the Driver PerspectiveEric Nelson
This presentation discusses the differences in retroreflectivity measurements between the standard CEN 30-meter geometry measurements with a handheld retroreflectometer and a vehicle-mounted high-speed retroreflectometer and makes suggestions for standard creation.
AN ENHANCED BLOCK BASED EDGE DETECTION TECHNIQUE USING HYSTERESIS THRESHOLDING sipij
Edge detection is a crucial step in various image processing systems like computer vision , pattern
recognition and feature extraction. The Canny edge detection algorithm even though exhibits high
accuracy, is computationally more complex compared to other edge detection techniques. A block based
distributed edge detection technique is presented in this paper, which adaptively finds the thresholds for
edge detection depending on block type and the distribution of gradients in each block. A novel method of
computation of high threshold has been proposed in this paper. Block-based hysteresis thresholds are
computed using a non uniform gradient magnitude histogram. The algorithm exhibits remarkably high
edge detection accuracy, scalability and significantly reduced computational time. Pratt’s Figure of Merit
quantifies the accuracy of the edge detector, which showed better values than that of original Canny and
distributed Canny edge detector for benchmark dataset. The method detected all visually prominent edges
for diverse block size.
In this session from the Institute of Validation Technology's Validation Week Europe, Kurtis Epp and John Kandl discuss how to implement QbD to all three stages of process validation.
Visual odometry & slam utilizing indoor structured environmentsNAVER Engineering
Visual odometry (VO) and simultaneous localization and mapping (SLAM) are fundamental building blocks for various applications from autonomous vehicles to virtual and augmented reality (VR/AR).
To improve the accuracy and robustness of the VO & SLAM approaches, we exploit multiple lines and orthogonal planar features, such as walls, floors, and ceilings, common in man-made indoor environments.
We demonstrate the effectiveness of the proposed VO & SLAM algorithms through an extensive evaluation on a variety of RGB-D datasets and compare with other state-of-the-art methods.
Puertas de garaje: qué cuidados básicos necesitanPuertas Roper
Las puertas de garaje, cómo el resto de materiales y objetos que se encuentran expuestos al exterior, necesitan cuidados específicos y rutinarios para que alarguen su tiempo de vida útil
SMX 2016 | Parcours d'achats : Quelle place accorder au mobile pour booster v...Peak Ace
Avec plus de 200 consultations par jour et par personne, et 49% des requêtes effectuées sur mobile, les parcours clients n'ont jamais été aussi nombreux et complexes. Durant cette conférence nous répondrons aux questions qui nous semblent essentielles pour booster votre ROI : Votre site mobile répond-t-il aux critères actuels ? Le poids donné au mobile dans votre stratégie SEA est-il suffisant ? Exploitez-vous les bons formats d'annonces ? Et enfin, nous verrons comment assurer efficacement les performances mobile pour lui attribuer la place qu'il mérite.
Although majority of DNA in most eukaryotes is found in the nucleus,some DNA is present within the mitochondria also. Here, I have included the basics and importance of the Organelle/ Mitochondrial DNA which can help you in better understanding of the same.
Edge detection is one of the most frequent processes in digital image processing for various purposes, one of which is detecting road damage based on crack paths that can be checked using a Canny algorithm. This paper proposed a mobile application to detect cracks in the road and with customized threshold function in the requests to produce useful and accurate edge detection. The experimental results show that the use of threshold function in a canny algorithm can detect better damage in the road
Algorithmic Techniques for Parametric Model RecoveryCurvSurf
A complete description of algorithmic techniques for automatic feature extraction from point cloud. The orthogonal distance fitting, an art of maximum liklihood estimation, plays the main role. Differential geometry determines the type of object surface.
SURVEY ON POLYGONAL APPROXIMATION TECHNIQUES FOR DIGITAL PLANAR CURVESZac Darcy
Polygon approximation plays a vital role in abquitious applications like multimedia, geographic and object
recognition. An extensive number of polygonal approximation techniques for digital planar curves have
been proposed over the last decade, but there are no survey papers on recently proposed techniques.
Polygon is a collection of edges and vertices. Objects are represented using edges and vertices or contour
points (ie. polygon). Polygonal approximation is representing the object with less number of dominant
points (less number of edges and vertices). Polygon approximation results in less computational speed and
memory usage. This paper deals with comparative study on polygonal approximation techniques for digital
planar curves with respect to their computation and efficiency.
Pavement Marking Visibility from the Driver PerspectiveEric Nelson
This presentation discusses the differences in retroreflectivity measurements between the standard CEN 30-meter geometry measurements with a handheld retroreflectometer and a vehicle-mounted high-speed retroreflectometer and makes suggestions for standard creation.
AN ENHANCED BLOCK BASED EDGE DETECTION TECHNIQUE USING HYSTERESIS THRESHOLDING sipij
Edge detection is a crucial step in various image processing systems like computer vision , pattern
recognition and feature extraction. The Canny edge detection algorithm even though exhibits high
accuracy, is computationally more complex compared to other edge detection techniques. A block based
distributed edge detection technique is presented in this paper, which adaptively finds the thresholds for
edge detection depending on block type and the distribution of gradients in each block. A novel method of
computation of high threshold has been proposed in this paper. Block-based hysteresis thresholds are
computed using a non uniform gradient magnitude histogram. The algorithm exhibits remarkably high
edge detection accuracy, scalability and significantly reduced computational time. Pratt’s Figure of Merit
quantifies the accuracy of the edge detector, which showed better values than that of original Canny and
distributed Canny edge detector for benchmark dataset. The method detected all visually prominent edges
for diverse block size.
In this session from the Institute of Validation Technology's Validation Week Europe, Kurtis Epp and John Kandl discuss how to implement QbD to all three stages of process validation.
Visual odometry & slam utilizing indoor structured environmentsNAVER Engineering
Visual odometry (VO) and simultaneous localization and mapping (SLAM) are fundamental building blocks for various applications from autonomous vehicles to virtual and augmented reality (VR/AR).
To improve the accuracy and robustness of the VO & SLAM approaches, we exploit multiple lines and orthogonal planar features, such as walls, floors, and ceilings, common in man-made indoor environments.
We demonstrate the effectiveness of the proposed VO & SLAM algorithms through an extensive evaluation on a variety of RGB-D datasets and compare with other state-of-the-art methods.
Definition and Validation of Scientific Algorithms for the SEOSAT/Ingenio GPPEsri
Presentation by Eduardo de Miguel, Raúl Valenzuela, Teodoro Bernardino, Verena Rodríguez, Alberto Pizarro, Diana de Miguel and Severino Fernández from INTA, GMV and EADS-CASA made on Esri European User Conference 2011.
Coastal erosion management using image processing and Node Oriented Programming AbdAllah Aly
Presentation of my Thesis with the title "Coastal erosion management using image processing and Node Oriented Programming" for achieving my Masters Degree in Computer and Automation Engineering from Siena University, Italy.
We performed the project on Lane detection by using canny edge and Hough transform at the University of Windsor. In this presentation, all the code used in Python are perfectly presented for reference.
AN OPTIMAL SOLUTION FOR IMAGE EDGE DETECTION PROBLEM USING SIMPLIFIED GABOR W...IJCSEIT Journal
Edge detection plays a vital role in computer vision and image processing. Edge of the image is one of the
most significant features which are mainly used for image analyzing process. An efficient algorithm for
extracting the edge features of images using simplified version of Gabor Wavelet is proposed in this paper.
Conventional Gabor Wavelet is widely used for edge detection applications. Due do the high computational
complexity of conventional Gabor Wavelet, this may not be used for real time application. Simplified Gabor
wavelet based approach is highly effective at detecting both the location and orientation of edges. The
results proved that the performance of proposed Simplified version of Gabor wavelet is superior to
conventional Gabor Wavelet, other edge detection algorithm and other wavelet based approach. The
performance of the proposed method is proved with the help of FOM, PSNR and Average run time.
LVTS - Image Resolution Monitor for Litho-MetrologyVladislav Kaplan
Significant challenges for various Critical Dimension (CD) measurement matching procedures are reaching a comparable complexity as result of negative effects of roughness on the features. Due to the constant trend of integrated circuit in features reduction, impact of roughness start to be more destructive for various sets of measurement algorithms. Commonly used attempts to increase magnification for pattern recognition in measurement mode could in turn detect higher deviation from predefined patterns and thus initiate shift in placement of measurement gate. The purpose of this paper is to discuss how to reduce measurement gate (MG) placement variation impact and filter acquired data using edge correlation approach. The essence of listed above approach is to create set of width correlation function represents particular feature under test and compare it to “golden” one as a mean of detection of uncorrelated scans, which in turn should be excluded from overall computation of matching results. We describe general approach for algorithm stepping and various techniques for judgment of measurement comparison validity. Presented approach also has particular interest in determination of specified tool performance for predefined pattern recognition feature as well as for pattern recognition algorithm robustness study - direct interest for manufacturer. Precise matching estimation as part of Round Robin (RR) routines creating possibility to work with restricted amount of data and perform quick reliable qualification procedures. This paper concentrated on practical approach and used both simulation and actual data measurements data before and after proposed optimization taken by various generation tools by Hitachi (S-8840, S-9300, S-9380) in production environment
Similar to An Edge Contour Extraction Technique (20)
Clinical Decision Support Systems (CDSS) were explicitly introduced in the 90’s with the aim of providing knowledge to clinicians in order to influence its decisions and, therefore, improve patients’ health care. There are different architectural approaches for implementing CDSS. Some of these approaches are based on cloud computing, which provides on-demand computing resources over the internet. The goal of this paper is to determine and discuss key issues and approaches involving architectural designs in implementing a CDSS using cloud computing. To this end, we performed a standard Systematic Literature Review (SLR) of primary studies showing the intervention of cloud computing on CDSS implementations. Twenty-one primary studies were reviewed. We found that CDSS architectural components are similar in most of the studies. Cloud-based CDSS are most used in Home Healthcare and Emergency Medical Systems. Alerts/Reminders and Knowledge Service are the most common implementations. Major challenges are around security, performance, and compatibility. We concluded on the benefits of implementing a cloud-based CDSS since it allows cost-efficient, ubiquitous and elastic computing resources. We highlight that some studies show weaknesses regarding the conceptualization of a cloud-based computing approach and lack of a formal methodology in the architectural design process.
Sustainability is a global concern. It must be addressed by different sectors of society, even by the information technology sector. Moreover, such effort should not be only focused on direct impacts of technology over the environment, but also on the software engineering discipline by itself, which is facing now other dimensions of sustainability. In this paper, an adaptation of the Attribute-Driven Design method including sustainability as a driver is introduced. The proposal is based on sustainability guidelines established by the Karlskrona Manifesto. It involves a multidimensional sustainability analysis considering three levels of impacts and opportunities for each one of the architectural components. The adaptation is motivated by the design of a sustainable architecture of a cloud-based personal health record. The designed architecture is termed Health Catalogue Repository. It offers cloud services, allowing interoperability and timely access to patients’ clinical information. Energy consumption and resources optimization are contemplated like fundamental sustainability characteristics in the architectural design. The achieved design offers a better trade-off among quality attributes and sustainability constraints. The achieved design by using the proposal reduces the long-term impacts whilst increases the sustainability opportunities in architectural components.
Health professionals should record clinical care information in order to provide adequate patient assistance. Such recording process requires an Electronic Health Record (EHR) with complete and integral information adjusted to treatments performed on a patient. Moreover, availability and access to EHR are key features supporting decision making and improve patient care. Nevertheless, designing an EHR fulfilling a set of quality attributes is not an easy task. In fact, an EHR with low usability causes deficient clinical services and poor data quality on medical records. In this paper, an interpretation of the ISO 9241-210 standard, in the context of patients' care in an emergency situation, is presented. It considers three mid-level objectives: understanding, designing and evaluating. In this way, an alignment between high-level guidelines, offered by usability standards, and low-level activities to be followed during an EHR design, is achieved.
A brief retrospective of selected projects elaborated at the Multimedia and Vision Laboratory in the Universidad del Valle. This talk was presented by teleconference to Universidad Señor de Sipán, Peru.
A quantitative evaluation methodology for disparity maps includes the selection of an error measure. Among existing measures, the percentage of bad matched pixels is commonly used. Nevertheless, it requires an error threshold. Thus, a score of zero bad matched pixels does not necessarily imply that a disparity map is free of errors. On the other hand, we have not found publications on the evaluation process where different error measures are applied. In this paper, error measures are characterised in order to provide the bases to select a measure during the evaluation process. An analysis of the impact on results of selecting different error measures on the evaluation of disparity maps is conducted based on the presented characterisation. The evaluation results showed that there is a lack of consistency on the results achieved by considering different error measures. It has an impact on interpreting the accuracy of stereo correspondence algorithms.
A comparison of stereo correspondence algorithms can be conducted by a quantitative evaluation of
disparity maps. Among the existing evaluation methodologies, the Middlebury’s methodology is commonly
used. However, the Middlebury’s methodology has shortcomings in the evaluation model and the error
measure. These shortcomings may bias the evaluation results, and make a fair judgment about algorithms
accuracy difficult. An alternative, the A* methodology is based on a multiobjective optimisation model that
only provides a subset of algorithms with comparable accuracy. In this paper, a quantitative evaluation of
disparity maps is proposed. It performs an exhaustive assessment of the entire set of algorithms. As
innovative aspect, evaluation results are shown and analysed as disjoint groups of stereo correspondence
algorithms with comparable accuracy. This innovation is obtained by a partitioning and grouping algorithm.
On the other hand, the used error measure offers advantages over the error measure used in the
Middlebury’s methodology. The experimental validation is based on the Middlebury’s test-bed and
algorithms repository. The obtained results show seven groups with different accuracies. Moreover, the topranked
stereo correspondence algorithms by the Middlebury’s methodology are not necessarily the most
accurate in the proposed methodology.
An error measure for evaluating disparity maps is presented. It offers advantages over conventional ground-truth based error measures.
Cabezas, I.; Padilla, V. & Trujillo, M. (2011), A Measure for Accuracy Disparity Maps Evaluation., in César San Martín & Sang-Woon Kim, ed., 'CIARP' , Springer, , pp. 223-231 .
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
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.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
1. An edge contour
extraction technique
Ivan Cabezas and Maria Trujillo
Universidad del Valle, Cali - Colombia
Panos Liatsis
City University, London - UK
2. Outline
Introduction
The Proposed Technique
Edge region detection
Edge contour extraction
Effects of Outliers
Experimental Validation
Inter-technique evaluation
Intra-technique evaluation
CLEI 2008 - An edge contour extraction technique Slide 2 / 16
3. Introduction
An edge can be described
as a local luminance
change
Edge detectors produce
disjoint edge segments
stored in binary maps
Edge contours are
relatively invariant to the
changes of illumination,
and sensor characteristics,
among others
CLEI 2008 - An edge contour extraction technique Slide 3 / 16
4. Introduction
A contour can be represented using an ordered chain of
symbols which links an initial edge point to a final edge
point
For instance: { [70,45],2,3,2,3,3,2,3,3,3,2, . . .
3,4,3,4,3,4,3,4,3,4,[17,32] }
[17,32]
[70,45]
3 2 1
4 C 0
5 6 7
CLEI 2008 - An edge contour extraction technique Slide 4 / 16
5. Edge Region
An edge region is a set of adjacent points with
a gradient magnitude higher than a threshold
and a common quantised gradient direction
Magnitude 0 0 0 40 40 0 0 0 Magnitude 0 0 0 10 20 10 0 0 0
Gradient Gradient
Direction Direction
CLEI 2008 - An edge contour extraction technique Slide 5 / 16
6. Edge Region Detection
A quantisation is used in order to establish
common gradient directions
135º 90º 45º
180º 0º
225º 270º 315º
Quantisation
CLEI 2008 - An edge contour extraction technique Slide 6 / 16
7. Edge Contour Extraction
There is a region when at least
two contiguous points with high
gradient magnitude have the
same quantised gradient direction
An edgel is located by performing
non-maximal suppression
The continuity of the edge region
and the adjacency of located
edgels allow tracking edgels
CLEI 2008 - An edge contour extraction technique Slide 7 / 16
8. Innovative aspect
The proposed technique does not process the
entire image for extracting edge contours
Points processed by Points processed by Edge contours extracted
traditional edge the proposed technique by the proposed technique
extraction techniques
CLEI 2008 - An edge contour extraction technique Slide 8 / 16
9. Effects of Outliers
Original Signal Gradient Directions
Signal plus Noise
CLEI 2008 - An edge contour extraction technique Slide 9 / 16
10. Edge Contour Extraction with Noise
An outlier point can have a high gradient
magnitude but it causes a gradient direction
peculiarity in its neighbourhood
The presence of outliers in an edge region
causes deterioration in edge maps computed
by the proposed technique
CLEI 2008 - An edge contour extraction technique Slide 10 / 16
12. Inter-Technique Evaluation
“Egg” Ground Truth
The Sobel The Canny The proposed technique
CLEI 2008 - An edge contour extraction technique Slide 12 / 16
15. Conclusions
Edge contours are thin chains of edgels with
maximum gradient magnitude and a common
gradient direction
The computation effort is reduced using a set
of columns and/or rows
It is possible to obtain a edge contours map
by processing 50% or less of an image,
depending on the image content
CLEI 2008 - An edge contour extraction technique Slide 15 / 16