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Automatic facial pattern extraction from color images using knowledge-based multistep filtering technique

机译:使用基于知识的多步滤波技术从彩色图像中自动提取面部图案

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Abstract: The paper described a technique for extracting the facial patterns from color images recorded in different imaging media. First, we extracted the skin-color pixels on the basis of statistical probability analysis of ellipsoid distributions of skin-color pixels' hue and saturation in the lightness intervals. The skin-color regions were segmented and labeled by applying the techniques of binary digital image processing. We observed 20 values of mensuration pattern variables in each region. The facial patterns were extracted from skin-color regions by evaluating their pattern variable values using the knowledge-based multistep filtering technique. This technique could extract the facial patterns from color images simply and automatically as verified by the experimental results. It is significant for operations or systems where locating and detecting the facial pattern are critical important. !9
机译:摘要:本文描述了一种从记录在不同成像介质中的彩色图像中提取面部图案的技术。首先,我们基于亮度区间中肤色像素的色相和饱和度的椭球分布的统计概率分析,提取了肤色像素。通过应用二进制数字图像处理技术对肤色区域进行分割和标记。我们在每个区域观察了20种测定模式变量的值。通过使用基于知识的多步过滤技术评估其图案变量值,从肤色区域中提取面部图案。实验结果证明,该技术可以简单,自动地从彩色图像中提取面部图案。对于定位和检测面部图案至关重要的操作或系统而言,这非常重要。 !9

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