Method for image threshold segmentation in quantum state space

The invention relates to a method for implementing image threshold segmentation in a quantum state space, which encodes image color and color probability distribution into a state vector space of a quantum system, and provides a comprehensive basis for color similarity and color distribution for image segmentation. The proposed quantum lossy coding scheme can encode the local information of the image and obtain the direct basis of the global optimal image segmentation by combining the entropy maximization method. By optimizing in the smaller solution space, the best segmentation threshold sequence can be determined to complete image segmentation. Different from the traditional method, the method of the invention avoids searching for the optimal segmentation threshold sequence in the wholecolor space, and can achieve excellent time efficiency. The special coding scheme and the optimal segmentation threshold calculation method can determine the upper bound of the number of thresholds needed for segmentation and