LowContrast Medical Images Automatic Segmentation Algorithm

Image segmentation is a crucial step in a wide range of medical image processing systems. In this paper, a prostate segmentation method based on searching fitting curve is proposed by considering the shape and texture information as the prior knowledge. Then the prior knowledge is merged into active contour model with its contour evolution that is evolved by a genetic algorithm technique. The proposed method has some advantages over classical level set methods for the images with weak and fuzzy edges. The simulation experiments verify the effectiveness of the proposed method.