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
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;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893519