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肤色和手势识别方法研究
Research on Skin Color and Gesture Recognition Method
【摘要】 随着信息技术的快速发展,手势输入比于其他人机交互方式更直接。然而,利用手势或人的姿态来控制机器之前,必须先从图像画面中切割出正确的肤色目标。通过对图像切割技术的研究,给出一种结合概率神经网络用于图像分割中得出最佳切割阈值的想法,以达到切割复杂背景中不同的皮肤颜色。
【Abstract】 With the rapid development of information technology,the signal input than in other man-machine interactive way is more direct.However,before the use of gestures or gestures to control the machine must cut out the correct color from the image target.So based on the research on the image cutting technology,presents an idea that combined with probabilistic neural network,is used for image segmentation in the optimum cutting valve,different skin color in order to achieve in cutting complex background.
【关键词】 图像分割;
概率神经网络;
贝叶斯分类器;
【Key words】 Graph Cuts; Probability Neural Network; Bayesian Classifier;
【Key words】 Graph Cuts; Probability Neural Network; Bayesian Classifier;
- 【文献出处】 现代计算机 ,Modern Computer , 编辑部邮箱 ,2013年19期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】51