CAJ | 학술논문

肤色检测常用的方法有颜色空间阈值法,肤色统计模型和基于分割的方法.然而,上述方法对于光照不好的图片往往得不到很好的效果,而且在背景颜色与肤色相近时,往往误判背景为肤色.为此,提出了一个综合的方法,它对图片光照和背景颜色具有鲁棒性:先作图像预处理,通过阈值法选出肤色像素,再对肤色密度分布进行估计,最后使用改进的分水岭算法进行肤色区域生长.实验结果表明,该方法可以有效降低背景颜色的干扰,提高了肤色轮廓的精确度.
부색검측상용적방법유안색공간역치법,부색통계모형화기우분할적방법.연이,상술방법대우광조불호적도편왕왕득불도흔호적효과,이차재배경안색여부색상근시,왕왕오판배경위부색.위차,제출료일개종합적방법,타대도편광조화배경안색구유로봉성:선작도상예처리,통과역치법선출부색상소,재대부색밀도분포진행고계,최후사용개진적분수령산법진행부색구역생장.실험결과표명,해방법가이유효강저배경안색적간우,제고료부색륜곽적정학도.
Many commonly used methods of skin detection are proposed including threshold in color space,skin color statistical modeling and segmentation-based method.However,those methods'performances usually decrease in poor illumination conditions and they often misjudge some parts of the background as skin region when their colors are similar to skin colors.Therefore,a comprehensive method is proposed that is robust to the illumination conditions and background colors.It has mainly two steps.At the first step the image is pretreated,and then selects some skin seeds by threshold to estimate the skin colors density distribution.Finally an improved watershed algorithm is used to expand the skin color regions based on the above density distribution.Experimental results show that the method effectively reduce the interference of the background color to enhance the color contour accuracy.