A Method of Image Segmentation Based on Combination of Improved Fast ICA and Mathematical Morphology

A method for image segmentation based on combination of improved fast independent component analysis and mathematical morphology is proposed. The method regards the independent component of image as the combination of independent component of edge and independent component of background, it translates the extraction of image component into the extraction of edge image component, then get the independent component of the image edge, after enhancing the edge through the mathematical morphology transformation and realize the image segmentation.The result shows that it has better segmentation performance compared with the traditional methods of image segmentation, the image contour can be clearly observed, the segmented image has the good edge connectivity and retains the details of original image.