DocumentCode :
3415790
Title :
Segmentation of colloidal crystal images by local histogram analysis
Author :
Davis, Keith A. ; Acton, Scott T. ; Ackerson, Bruce J.
Author_Institution :
Dept. of Phys., Oklahoma State Univ., Stillwater, OK, USA
fYear :
1996
fDate :
8-9 Apr 1996
Firstpage :
178
Lastpage :
183
Abstract :
The segmentation algorithm given herein is a development of a study of hard-sphere colloidal crystallization undertaken by the authors. The motivation for the development of the algorithm was the lack of a suitable commercially-available program. The desired algorithm is one capable of accurately segmenting a large set of digitized images with a sparse population of blobs varying in contrast to the local background. Furthermore, the program would also need to segment accurately images with backgrounds which varied locally and temporally. The algorithm used here appears to provide adequate results with stable sensitivity to low and high contrast crystal images when implemented recursively
Keywords :
chemistry computing; colloids; crystal chemistry; crystallisation; image segmentation; blobs; colloidal crystal image segmentation; contrast; hard-sphere colloidal crystallization; local background; local histogram analysis; segmentation algorithm; sparse population; stable sensitivity; Colloidal crystals; Crystallization; Entropy; Histograms; Image analysis; Image segmentation; Light scattering; Lighting; Particle scattering; Suspensions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
Type :
conf
DOI :
10.1109/IAI.1996.493749
Filename :
493749
Link To Document :
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