DocumentCode :
1695713
Title :
An evaluation criterion for edge detection techniques in noisy images
Author :
Valverde, F.L. ; Guil, N. ; Munoz, J. ; Nishikawa, R. ; Doi, K.
Author_Institution :
Dept. of Comput. Sci., Malaga Univ., Spain
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
766
Abstract :
Segmentation in noisy images is an important and difficult problem in pattern recognition. Edge detection is a crucial step in this process. Current subjective and objective methods for evaluation and comparison of segmentation techniques are inadequate or not applicable to edge detection techniques. A general framework for segmentation evaluation in noisy images is introduced after a brief review of previous work. Several measures based on similarity between true and result segmented images are defined. These measures are, then, combined in a unique criterion as a proposed global measure of performance. The results indicate that this global measure can be helpful in the evaluation and comparison of segmentation techniques applied to noisy images
Keywords :
edge detection; image segmentation; noise; edge detection; global performance measure; noisy images; pattern recognition; segmented images; Data mining; Guidelines; Humans; Image edge detection; Image segmentation; Laboratories; Noise level; Noise measurement; Radiology; Random access memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.959158
Filename :
959158
Link To Document :
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