This paper presents the newly studied image processing, segmentation and analysis algorithms for irregular shape grains on ceramic material surfaces. The algorithm consists of a special pre-processing sub-algorithm, gray level image segmentation (the Suk & Chung similarity algorithm), background split and merge of small regions sub-algorithm, and segmentation algorithm based on shape analysis (merge and split).The developed algorithms have been tested in a laboratory and works satisfactory.
Index Terms:
grains, ceramic, size and shape, segmentation, Image analysis
Citation:
Weixing Wang, "Image Segmentation of Irregular Shape Grains on Ceramic Material Surfaces," cgiv, pp.49-54, International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005