DocumentCode :
3336280
Title :
A segmentation method for multi-connected particle delineation
Author :
Wu, Xingqiang ; Kemeny, John M.
Author_Institution :
Dept. of Min. & Geol. Eng., Arizona Univ., Tucson, AZ, USA
fYear :
1992
fDate :
30 Nov-2 Dec 1992
Firstpage :
240
Lastpage :
247
Abstract :
An automatic particle segmentation system is developed for calculating the size distribution of rock fragments created by blasting. A rock composite due to blasting is often fully multi-connected in which individual particles cannot be delineated by the existing segmentation algorithms. Two algorithms are proposed to approach this multi-connected segmentation problem. The first algorithm analyzes the shape of each shadow (a simply-connected region) and `splits´ the particles from shadow boundary convexity points if a relatively large gradient path occurs. The second algorithm finds clusters of rock particles which may not be delineated due to the lack of a strong gradient along the touching portions and delineates them using a shape heuristics. A large number of test results show that the method is fast and accurate
Keywords :
image segmentation; particle size measurement; rocks; automatic particle segmentation system; blasting; image understanding; large gradient path; multi-connected particle delineation; multi-connected segmentation; photographic image; rock composite; rock fragments; rock particles clusters; segmentation algorithms; segmentation method; shadow boundary convexity points; shape heuristics; simply-connected region; size distribution; Algorithm design and analysis; Clustering algorithms; Costs; Geology; Image edge detection; Leaching; Minerals; Mining industry; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, Proceedings, 1992., IEEE Workshop on
Conference_Location :
Palm Springs, CA
Print_ISBN :
0-8186-2840-5
Type :
conf
DOI :
10.1109/ACV.1992.240305
Filename :
240305
Link To Document :
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