Title :
Image Segmentation by Histogram Adaptive Fuzzification
Author_Institution :
Samsung India R&D Center (Software), B-1, Sector-81, Phase-II, Noida-201305 (U.P.), INDIA, Email: rajen.bhatt@gmail.com, rajen.bhatt@samsung.com
Abstract :
We propose a simple image segmentation methodology using adaptive fuzzification over gray level histogram. The threshold has been estimated at the first intersection of back ground and fore ground fuzzy membership functions. The proposed methodology has been tested over various well known image segmentation problems.
Keywords :
Histogram; Image segmentation; Thresholding; Application software; Clustering algorithms; Computer vision; Entropy; Fuzzy sets; Histograms; Image segmentation; Minimization methods; Research and development; Testing; Histogram; Image segmentation; Thresholding;
Conference_Titel :
INDICON, 2005 Annual IEEE
Print_ISBN :
0-7803-9503-4
DOI :
10.1109/INDCON.2005.1590228
