8 geman s , geman d . stochastic relaxation , gibbs distribution and the bayesian restoration of images 我們把顏色變化比較劇烈的圖像稱為復(fù)雜圖像。在日常生活中存在著大量的這樣的圖像。
Two parameter estimation methods of the texture model based on the gibbs distribution and neighbor pixels are adopted to extract the features of workpiece surface texture . tool wear condition is recognized by the feature parameters of texture 提出了基于gibbs分布和基于近鄰像元的兩種紋理模型參數(shù)估計(jì)方法以提取工件表面紋理特征,并利用紋理特征參數(shù)對刀具的磨損浙江大學(xué)博士學(xué)位論文狀態(tài)進(jìn)行判別。