Study on Intelligent Extracting Algorithm of Zipper Teeth from Image
Ying Chun Zhong, J.F. Chen, Jun Gao · Advanced materials research · 2011
An intelligent algorithm is proposed to extract the zipper teeth region image from color origin’s. First, some pixels in the original image are selected arbitarily and their gray level comatrix with different neighbourhood scale are calculated in order to establish the texture feature matrix. Second, the rough k-means is employed to cluster all the arbitarily selected pixels. The arbitarily selected pixels which are located in zipper teeth area would be classified in the same cluster. Then, the convex hull of those pixels located in zipper teeth is calculated in order to extract the regional image. The experiments show that the new proposal not only can be quick and accurate to extract the zipper teeth regional image but can extract different color and styles zipper teeth without setting any parameters by human, which reflects the new algorithm has good adaptability.