改进Canny算子在静态手势分割中的应用  

Application of Static Gesture Segmentation Based on Improved Canny Operator

作　　者：龚申健 余雷[1] GONG Shenjian;YU Lei(School of Mechanical and Electric Engineering,Soochow University,Suzhou 215000,China)

机构地区：[1]苏州大学机电工程学院,江苏苏州215000

出　　处：《电工技术》2018年第16期121-123,共3页Electric Engineering

摘　　要：为满足静态手势分割中对于手势提取的要求,本文提出使用一种联合滤波方式及自适应阈值的改进传统Canny算子。在获取图像后先进行双边滤波,再采用椭圆肤色模型筛选肤色域,并将域分成块,根据块域特征分离手部,最后采用自适应阈值的改进Canny算子提取互动手部轮廓。In order to meet the requirements of gesture extraction in static gesture segmentation,an improved Canny operator which used a combined filtering method and adaptive threshold was proposed.After getting image,bilateral filtering and elliptical complexion model to screen domain with color of skin were implemented.Then the domain was divided into blocks.According to the separation of the hand piece of domain characteristics,adaptive threshold using improvement Canny operator hand contour extraction interaction was implemented.

关 键 词：CANNY算子 轮廓检测 手势分割 肤色检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]