A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function
Superpixel is an essential tool for computer vision.In practice, classic superpixel algorithms do not exhibit good boundary adherence folk rivet sweat with fewer superpixels, which will greatly hamper further analysis.To remedy the defect, a superpixel boundary optimization framework is proposed in this paper.There are three steps in the framework.