Title :
Edge-based dynamic thresholding of digital images
Author_Institution :
Dept. of Comput. & Appl. Math., Univ. of the Witwatersrand, Johannesburg, South Africa
fDate :
8/30/1991 12:00:00 AM
Abstract :
A dynamic grey-level thresholding scheme for the binary image segmentation is proposed. By the use of edge information and region-growing methods the effects of uneven illumination, noise and blurring are diminished, resulting in a better segmentation than is possible using global thresholding methods
Keywords :
digital signals; picture processing; binary image segmentation; blurring; digital images; dynamic grey-level thresholding scheme; edge information; noise; region-growing methods; uneven illumination; Degradation; Digital images; Image segmentation; Lighting; Pattern recognition; Satellites; Testing;
Conference_Titel :
Communications and Signal Processing, 1991. COMSIG 1991 Proceedings., South African Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-0040-8
DOI :
10.1109/COMSIG.1991.278225
