Gray Level Image Thinning–A Fuzy Set Theoretic Approach.
Date of Submission
December 1988
Date of Award
Winter 12-12-1989
Institute Name (Publisher)
Indian Statistical Institute
Document Type
Master's Dissertation
Degree Name
Master of Technology
Subject Name
Computer Science
Department
Electronics and Communication Sciences Unit (ECSU-Kolkata)
Supervisor
Pal, Sankar K. (MIU-Kolkata; ISI)
Abstract (Summary of the Work)
A new approach to the problem of Thinning gray level images is proposed wher aby it is po saible to obtain the skeleton of the image using fuzzy theory. The object pixels are assigned mambership values indicating the degroo of be 'belongingness' to the object and suitable 'skeleton membership functions' ere proposed. The skeleton is obtained from this version of the objact based on the histogram measure and compactness measure. The effectiveness of the algorithms is demonstrated for images of a specimen handwriting, chromo some and biplane.
Control Number
ISI-DISS-1988-186
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
http://dspace.isical.ac.in:8080/jspui/handle/10263/6351
Recommended Citation
Renuka, C. B., "Gray Level Image Thinning–A Fuzy Set Theoretic Approach." (1989). Master’s Dissertations. 390.
https://digitalcommons.isical.ac.in/masters-dissertations/390
Comments
ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843750