NDLI: Color Segmentation Robust to Brightness Variations by Using B-spline Curve Modeling

Content Provider	IEEE Xplore Digital Library
Author	Chi-Ho Kim Bum-Jae You Hagbae Kim
Copyright Year	2006
Description	Author affiliation: Wireless R&D Group 6, Samsung Electron. Co. Ltd., Gyeonggi (Chi-Ho Kim)
Abstract	Color segmentation takes a great attention because color is an effective and robust visual cue for characterizing an object from the others. However, color segmentation suffers from color variations incurred by irregular illumination changes. We propose a reliable color modeling approach in HSI (hue-saturation-intensity) color space while considering intensity information by adopting the B-spline curve fitting to make a mathematical model for statistical characteristics of a color with respect to intensity. It is based on the fact that color distribution of a single-colored object is not invariant with respect to brightness variations even in the HS (hue-saturation) plane. The statistical characteristics contain the mean and standard deviation of hue and saturation with respect to intensity. They are mathematically expressed as four bar graphs. In order to fit the bar graphs to continuous curves, we use B-spline curve fitting procedure. From several experimental results, we verify that the proposed algorithm is successfully applied to color segmentation under various illumination conditions
Starting Page	4874
Ending Page	4879
File Size	7231503
Page Count	6
File Format	PDF
ISBN	1424402581
DOI	10.1109/IROS.2006.282443
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Brightness Spline Skin Image segmentation Lighting Color Intelligent robots Curve fitting Mathematical model color model Color consistency color segmentation B-spline curve fitting robust to brightness variations
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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