NDLI: Color images segmentation using new definition of connected components

Content Provider	IEEE Xplore Digital Library
Author	Yan Sun Chengyi Sun Wanzhen Wang
Copyright Year	2000
Description	Author affiliation: Comput. Center, Taiyuan Univ. of Technol., China (Yan Sun)
Abstract	This paper proposes a definition of the connected components of color images, (/spl epsiv//sub H/, /spl epsiv//sub C/)-connected components ((/spl epsiv//sub H/, /spl epsiv//sub C/)-CCs). A systematic segmentation method using (/spl epsiv//sub H/, /spl epsiv//sub C/)-CCs is also presented. The similarity of pixels is measured in the IHC (intensity, hue and chroma) color space, which was proposed by the authors previously, and the similar pixels in a given image are grouped into (/spl epsiv//sub H/, /spl epsiv//sub C/)-CCs. Experiment results demonstrate that color images can be effectively segmented in accordance with the perception of human using the definition of (/spl epsiv//sub H/, /spl epsiv//sub C/)-CCs and the systematic method. A hybrid system composed of MEBML (mind-evolution-based machine learning) and MLCNN (maximum likelihood clustering neural network) is used to cluster features of small windows of an image. The hybrid system has good performances on clustering and makes the color images segmentation algorithm efficient.
Starting Page	863
Ending Page	868
File Size	655397
Page Count	6
File Format	PDF
ISBN	0780357477
DOI	10.1109/ICOSP.2000.891648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Image segmentation Pixel Carbon capture and storage Sun Extraterrestrial measurements Automation Machinery Large Hadron Collider Humans
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Color image segmentation and understanding through connected components

Face detection and tracking in color images using color centroids segmentation

Color image segmentation using density-based clustering

Color image segmentation using density-based clustering

Segmentation of human faces in color images using connected operators

Towards physics-based segmentation of photographic color images

Extending connected operators to colour images

A hierarchical approach to fuzzy segmentation of colour images

One-pass encoding of connected components in multivalued images

Color images segmentation using new definition of connected components

Similar Documents

Color image segmentation and understanding through connected components

Face detection and tracking in color images using color centroids segmentation

Color image segmentation using density-based clustering

Color image segmentation using density-based clustering

Segmentation of human faces in color images using connected operators

Towards physics-based segmentation of photographic color images

Extending connected operators to colour images

A hierarchical approach to fuzzy segmentation of colour images

One-pass encoding of connected components in multivalued images

Color images segmentation using new definition of connected components