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HUMAN HAND DETECTION METHOD AND DEVICE BASED ON SKIN COLOUR

机译:基于肤色的人手检测方法及装置

摘要

Provided is a human hand detection method based on a skin colour. The method comprises: converting an acquired image to be detected from an RGB colour space into an HSV colour space to acquire an HSV image, and converting the image to be detected from the RGB colour space into an r-g colour space to acquire an r-g image; converting the HSV image into a first binary image, and converting the r-g image into a second binary image; performing a bitwise AND operation on the first binary image and the second binary image so as to obtain a comprehensive binary image; filtering the comprehensive binary image to acquire an optimized binary image; analysing a maximum connected region in the optimized binary image, and taking the maximum connected region as a skin region; using a pre-trained K neighbour classifier to determine whether the maximum connected region is in a hand shape, thereby realizing human hand recognition. The method has a rapid detection speed, and effectively avoids the human hand error detection in gesture recognition.
机译:提供了一种基于肤色的人的手检测方法。该方法包括:将获取到的待检测图像从RGB颜色空间转换为HSV颜色空间,以获取HSV图像;将待检测到的图像从RGB颜色空间转换为r-g颜色空间,以获取r-g图像。将HSV图像转换为第一二进制图像,并将r-g图像转换为第二二进制图像;对所述第一二进制图像和所述第二二进制图像进行按位与运算,以获得综合二进制图像;过滤综合二进制图像以获得优化的二进制图像;分析优化后的二值图像中的最大连接区域,并以最大连接区域为皮肤区域;使用预训练的K邻居分类器确定最大连接区域是否为手形,从而实现人手识别。该方法检测速度快,有效避免了手势识别中的人手错误检测。

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