CAJ | 학술논문

针对复杂图像背景及光照导致的肤色检测率不高的问题，提出一种基于分裂式K均值聚类的椭圆模型肤色检测方法。该方法对图像进行光线补偿处理，采用Gray World方法对图像进行颜色均衡，选择建立检测效率较高的椭圆肤色模型进行肤色检测，并在检测出的肤色区域上采用分裂式K均值聚类（FKM）进行二次的肤色判决，进一步准确检测出肤色区域。实验表明，所提出的检测算法能准确高效地检测出肤色区域，具有较高地准确率和较强的鲁棒性。
침대복잡도상배경급광조도치적부색검측솔불고적문제，제출일충기우분렬식K균치취류적타원모형부색검측방법。해방법대도상진행광선보상처리，채용Gray World방법대도상진행안색균형，선택건립검측효솔교고적타원부색모형진행부색검측，병재검측출적부색구역상채용분렬식K균치취류（FKM）진행이차적부색판결，진일보준학검측출부색구역。실험표명，소제출적검측산법능준학고효지검측출부색구역，구유교고지준학솔화교강적로봉성。
The complex image background and the varying lighting conditions lead to the low detection rate, this paper presents a novel color detection method to solve this problem. The Gray World color balance is carried out to compensating the light before detecting the skin area. After that choose to create the high detection efficiency ellipse model for skin color detection, then the paper detects skin color area on the K-means clustering using split(FKM)for the second sentence to make the detection more accurate. The experiment results show that this detection algorithm can detect skin area accurately and efficiently, and it has higher accuracy and robustness.