Fast Image Segmentation Algorithm Based on Spatially Constrained Mixture Model
Zhang Kaiyue · Jisuanji gongcheng · 2007
The paper presents a rapid spatially constrained mixture model for image segmentation.For the spatial constraint,a filtering process is incorporated into the EM algorithm with only a small computational overhead of the standard EM algorithm.Images are down sampled to speed up segmentation process.In order to circumvent the problem of small sample model selection,the proposed spatially constrained model-based clustering method employs a weighted likelihood and assigns weight to each pixel according to the filtering process.The experiments show that the proposed image segmentation method can produce quick and reliable results comparable to the work using the original image size.