摘要
快速而准确地检测图像中的人体皮肤区域在人脸检测、敏感图像过滤等应用中有重要价值.为了提高肤色检测的精度和速度,提出了一种在JPEG图像压缩域上的基于自适应阈值的人体皮肤区域检测算法.该算法的优点在于:①检测过程中能根据图像内容自适应地调节检测阈值,有效防止误检和漏检;②无需完全解压缩JPEG图像,直接在DCT系数域上计算每个图像块的颜色和纹理特征,利用颜色和纹理特征来检测图像块是否为人体皮肤.与现有肤色检测算法的对比实验表明我们的方法具有很好的准确性和很快的速度.
Skin region detection plays an important role in a variety of applications such as face detection and adult image filtering. To improve the accuracy and speed of skin detection, an adaptive skin detection algorithm working on compressed domain of JPEG images is proposed. Two main contributions of the skin detector are： （1） It can adaptively control the threshold according to image content; （2） It doesn＇t require full decompression of JPEG images. It directly derives color and texture features of each image block from DCT coefficients and jointly uses both features to classify each image block as human skin region or not; Comparisons with other existing skin detection techniques demonstrate that the algorithm proposed can compute very fast and achieve good accuracy.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2006年第7期1194-1200,共7页
Journal of Computer Research and Development
基金
国家"八六三"高技术研究发展计划基金项目(2003AA142140)
