Study on the Image Segmentation Based on ICA and Watershed Algorithm

An image segmentation approach based on independent component analysis and watershed algorithm is proposed to complement medical image segmentation efficiently. Considering that the noise, uniform gray intensity and many low contrast adjacent areas in the medical images may cause the images over-segmented when using the watershed algorithm, so that the independent component algorithm is applied to reduce the noise´ affection in image-segmentation and keep the images clear texture simultaneously, then watershed algorithm is used for image-segmentation. Compared to the method based on the wavelet filter and the classic watershed algorithm, the experiments display that this approach is efficient for images segmentation.