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

1. Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: Targeting Accurate Object Extraction From
an Image: A Comprehensive Study of Natural
Image Matting
Abstract—With the development of digital multimedia technologies, image matting
has gained increasing interests from both academic and industrial communities.
The purpose of image matting is to precisely extract the foreground objects with
arbitrary shapes from an image or a video frame for further editing. It is generally
known that image matting is inherently an ill-posed problem because we need to
output three images out of only one input image. In this paper, we provide a
comprehensive survey of the existing image matting algorithms and evaluate their
performance. In addition to the blue screen matting, we systematically divide all
existing natural image matting methods into four categories: 1) color sampling-
based; 2) propagation-based; 3) combination of sampling-based and propagation-
based; and 4) learning-based approaches. Samplingbased methods assume that the
foreground and backgroundcolors of an unknown pixel can be explicitly estimated
by examining nearby pixels. Propagation-based methods are instead based on the
assumption that foreground and background colors are locally smooth. Learning-
based methods treat the matting process as a supervised or semisupervised learning
problem. Via the learning process, users can construct a linear or nonlinear model
between the alpha mattes and the image colors using atraining set to estimate the
alpha matte of an unknown pixel without any assumption about the characteristics
of the testing image. With three benchmark data sets, the various matting

2. algorithms are evaluated and compared using several metrics to demonstrate the
strengths and weaknesses of each methodboth quantitatively and qualitatively.
Finally, we conclude this Manuscript received December 8, 2013; revised May 20,
2014 and October 29, 2014; accepted November 3, 2014. Date of publication
November 20, 2014; date of current version January 15, 2015. This work
wassupported in part by the National Natural Science Foundation of China under
Grant 61303166 and Grant 61125106, in part by the Key Research Program
through the Chinese Academy of Sciences, Shenzhen, China, under Grant KGZD-
EW-T03, and in part by the National Basic Research Program (973 Program) of
China under Grant 2010CB732606. (Corresponding authors: Ling Shao, Lei
Wang.) Q. Zhu is with the Shenzhen Institutes of Advanced Technology, Chinese
Academy of Sciences, Shenzhen 518055, China, and also with the
ChineseUniversity of Hong Kong, Hong Kong (e-mail: qs.zhu@siat.ac.cn).L. Shao
is with the Department of Computer Science and DigitalTechnologies,
Northumbria University, Newcastle upon Tyne NE1 8ST, U.K. (e-mail:
ling.shao@ieee.org). X. Li is with the Centre for OPTical Imagery Analysis and
Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute
of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119,
China(e-mail: xuelong_li@opt.ac.cn). L. Wang is with the Shenzhen Institutes of
Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
(e-mail: lei.wang@siat.ac.cn). Color versions of one or more of the figures in this
paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier
10.1109/TNNLS.2014.2369426 paper by outlining the research trends and
suggesting a number of promising directions for future development.

3. Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com