Simulated Annealing (SA) is a smart (meta)-heuristic for Optimization. Given a cost function in a large search space, SA replaces the current solution by a random "nearby" solution. The nearby solution is chosen with a probability that depends on the

自己按J David的方法做的7个Hu时刻，用于边缘检测-7 HU moments，similitude Moments，matlab