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
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;
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
DOI :
10.1109/IAI.1996.493749