Image segmentation of irregular shape grains on ceramic material surfaces

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.