纹理图像吉布斯模型参数的模拟退火估值

纹理图像吉布斯模型参数的模拟退火估值 PARAMETERS ESTIMATION OF GIBBS RANDOM FIELD MODEL OF TEXTURE IMAGE 张瞻 Zhang Zhan 1 first-author 侯杰昌 Hou Jiechang 1 廖孟扬 Liao Mengyang 1 武汉大学电子信息学学院 武汉大学电子信息学学院 College of Ellectronic Information, Wuhan University College of Ellectronic Information, Wuhan University 把纹理图像吉布斯随机场模型参数的估值问题转化为一个组合优化问题，用模拟退火法进行求解．实验结果表明该算法是有效的． The problem of parameters estimation of Gibbs random field model of texture image is converted into a combinatorial optimization problem, and an effective optimization algorithm, simulated annealing method, is utilized to tackle this problem. The results of computer experiments have shown that the algorithm is effective, and can produce comparatively accurate estimation of model parameters. 纹理 吉布斯随机场 模拟退火 texture Gibbs random field simulated annealing TP391.4 1998-01-01 2021-04-01 1