NDLI: Medical Image Segmentation Based on Fast Region Connecting

Content Provider	IEEE Xplore Digital Library
Author	Yifei Zhang Shang Wu Ge Yu Daling Wang
Copyright Year	2007
Description	Author affiliation: Northeastern Univ., Shenyang (Yifei Zhang; Shang Wu; Ge Yu; Daling Wang)
Abstract	An image segmentation approach is presented that merges watershed segmentation regions with the nearest neighbor connecting tree (NNCT). Firstly a dilation-erosion contrast enhancement processing is used as a preprocessing stage to obtain an accurate estimate of the image borders. Then the maker-controlled watershed transform is applied to produce an initial partitioning of the image into primitive regions. Lastly watershed regions are merged by constructing the NNCT to produce the last segmentation. In the latter process, the seed is introduced and the largest route connectedness is computed between the seed and every node in the route of the region adjacency graph (RAG). Simultaneously, a faster algorithm based on the prior principle of largest route connectedness is produced to create the NNCT, due to which processing steps are drastically reduced. The segmentation approach is applied to lung extraction in computerized tomography (CT) images. The results show the efficiency of the algorithm for medical image segmentation.
Starting Page	833
Ending Page	836
File Size	2029408
Page Count	4
File Format	PDF
ISBN	9781424410774
DOI	10.1109/ICCME.2007.4381858
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Merging Nearest neighbor searches Image segmentation Information science Computed tomography Lungs Layout dilation-erosion largest route connectedness Joining processes watershed transform Biomedical imaging Biomedical engineering
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