DocumentCode :
2750790
Title :
A comparative performance study of thresholding algorithms for particle images
Author :
Wang, Luya ; Wang, Weixing
Author_Institution :
Inst. of Image Recognition & Comput. Vision, Hunan Normal Univ., China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
2097
Abstract :
A comparative performance study of eight global thresholding algorithms for particle images were investigated. Of the selected eight global thresholding algorithms, three of them were based on gray level histograms, and the remaining ones were based on the histograms of gradient magnitude
Keywords :
image segmentation; comparative performance study; global thresholding algorithms; gradient magnitude histograms; gray level histograms; particle images; rock; thresholding algorithms; Additive noise; Computer vision; Entropy; Histograms; Image recognition; Image segmentation; Laplace equations; Optimized production technology; Probability distribution; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.893519
Filename :
893519
Link To Document :
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