Active contour model image segmentation method based on SLIC superpixel segmentation and saliency detection algorithm

The invention discloses an active contour model image segmentation method based on SLIC superpixel segmentation and a saliency detection algorithm. The method comprises the following steps: firstly, preprocessing an image by using an SLIC algorithm to obtain a superpixel segmentation result; for a superpixel segmentation result, calculating the contrast between irregular superpixel blocks to estimate a saliency value so as to obtain a salient region, and then the obtained salient information and the spatial correlation between pixels being subjected to weighted fusion to obtain a saliency map; then extracting a region boundary of the saliency map by using a Canny operator, and constructing an initial level set phi by taking the saliency region boundary as an initial curve. The problems of too many parameters and the like existing in an existing active contour CV model are improved, the improved active contour CV model is used for further processing an ultraviolet image, and finally an accurate and ideal ultraviolet segmentation image is obtained.