NDLI: A new recognizing method for planar objects

Content Provider	IEEE Xplore Digital Library
Author	Dong-Liang Peng
Copyright Year	2003
Description	Author affiliation: Inst. of Intelligence Inf. & Control Technol., Hangzhou Inst. of Electron. Eng., China (Dong-Liang Peng)
Abstract	On the basis of the generalized image enhancement algorithm using fuzzy sets and improved labeling method, a new recognizing method for planar objects is proposed in this paper. Firstly, a generalized iterative fuzzy enhancement algorithm is proposed which consists of a three-stage procedure, i.e., image filtering, fuzzy enhancement and gray-level transformation. A canonical form of membership function in the stage of fuzzy enhancement is proposed which remains the advantages of the original fuzzy enhancement and the gray level transformation while transforming the membership function of the gray scale to, and therefore is suitable for handling the enhancement problems of the images that have less gray levels and low contrast. Secondly, a new objective image quality assessment criterion is suggested according to the statistical features of the gray-level histogram of images to control the iterative procedure of the proposed image enhancement algorithm. Thirdly, an improved labeling method for image segmentation is given. Using this novel labeling method in image segmentation, it is not necessary to determine an equivalence table that needs to be listed in the usual sequential component algorithm. Computer simulation results for a degraded gray image show that this proposed recognizing method is efficient.
Sponsorship	Syst., Man & Cybernetics Soc. IEEE
Starting Page	223
Ending Page	227
File Size	446940
Page Count	5
File Format	PDF
ISBN	0780379527
ISSN	1062922X
DOI	10.1109/ICSMC.2003.1243819
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iterative algorithms Labeling Image enhancement Image recognition Image segmentation Fuzzy sets Filtering algorithms Image quality Histograms Computer simulation
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