NDLI: Image Class Segmentation via Conditional Random Field over Weighted Histogram Classifier

Content Provider	IEEE Xplore Digital Library
Author	Fei Xue Yu-Jin Zhang
Copyright Year	2011
Abstract	Image class segmentation is a problem that combines image segmentation and image classification. Conditional random field can be used in image class segmentation to achieve state-of-the-art result, adding high-level information in the course of using low-level cues to conduct segmentation. In this paper we introduce a method using weighted neighborhood histogram on the over-segmented original images. First the image is over-segmented into segments to be performed as basic units. A classifier is then introduced to initialize the confidence value of each class on each pixel with histogram of features. Finally a conditional random field uses it alongside with boundary conditions generate the final result for class segmentation. The method is then tested on PASCAL VOC 07 set and is shown to have state-of-the-art result.
Starting Page	477
Ending Page	481
File Size	394261
Page Count	5
File Format	PDF
ISBN	9781457715600
DOI	10.1109/ICIG.2011.119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Support vector machines Image segmentation Histograms Consitional Randm Field Dictionaries Object segmentation Feature extraction Weighted Histogram Classifier Image Class Segmenrtation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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