recently single-threshold or multi-threshold is often used to segment image and detect object contour on an image by means of genetic algorithm 本文首先對傳統遺傳算法進行了改進,提出了適應函數標定公式,定義了相似度概念。
in final, segmented images were analyzed, and the areas of all different sections of the image were calculated ( presented with pixel number ) 論文最后對分割后的圖象進行分析,計算出了圖象中各部分所占的面積(用象素數表示)。
we propose a low-dimensional region-based shape index to retrieve images . the initial step in our approach is to segment images into regions on dominant colors 首先基于主要顏色把圖象分割成區域,然后把分割后得到的區域用作形狀檢索的輸入。
this algorithm carries out pretreatment of ordinary military graphs, then segments images, extract edges in the margin, and finally conducts feature matching 該算法實現了對普通軍事圖像的預處理,然后進行圖像分割、提取邊緣,最后進行了特征匹配。
firstly, human skin-color information is used to segment images into skin color region and non-skin color region, then pretreat the skin-color region and come into the phase of image similarity 首先利用彩色圖像的顏色信息把彩色圖像分割成膚色區域與非膚色區域,然后對膚色區域做預處理后,進入圖像似然度檢測階段。