IC Image Segmentation Based on Watershed and Prior Knowledge
一种基于分水线和先验知识的集成电路图像分割方法

Used Bayesian image segmentation algorithm based on Watershed transform , We calculate the energy of the label image result from the Watershed transform by designing a prior density that penalizes the area of homogeneous parts in images. The segmentation problem is the maximizing a posteriori estimation of the set of areas such we can find the optimal areas of object, and the other areas of the image are looked as background areas. The experiments indicate our Algorithm is effective for image segmentation .