Gradient Skeleton Marker Extraction Algorithm Based on Human Visual Characteristics
Wangsheng Yu · Jisuanji gongcheng · 2012
To resolve the problem of marker extraction during the preprocessing of watershed algorithm,a gradient skeleton marker extraction method based on human visual characteristics is proposed in this paper.It marks all the valley point of gradient image to build up a connected skeleton.It chooses automatic threshold according to difference background in difference color space and picks out and abandons the saddle point whose gray value is larger than the saddle point threshold.After that,the skeleton is separated to some little discrete skeletons,each of them is a marker.Experimental results indicate that this algorithm can avoid the difficult of parameter initialization in traditional marker extraction algorithm and well suppress the over-segmentation to get a more satisfactory segmentation result.