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首页> 外文会议>International Conference on Information Management, Innovation Management and Industrial Engineering;ICIII 2009 >A Breast Detecting Algorithm for Adult Image Recognition
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A Breast Detecting Algorithm for Adult Image Recognition

机译：成人图像识别的乳房检测算法

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摘要

Information spreading on the Internet is increasing explosively. Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking modelȁ9;s breast as recognizing object is proposed and discussed in this paper. The algorithm uses fuzzy cluster method to segment candidate region according to common colors of breast feature. After getting the preliminary candidate region, the algorithm applies ȁC; whatȁD; and ȁC; whereȁD; way for information processing of visual system to compose integrated breast feature vector. The algorithm uses Forward Propagation neural network to judge whether the candidate region is a breast feature or not. Then the result of image recognition is gotten through the existence of breast. Experiments show that the developed recognizing algorithm can accurately confirm whether there are breast parts in images or not. Therefore, it can be applied in practical adult image recognizing system effectively.
机译：互联网上传播的信息正在爆炸式增长。应保护少年免受有害信息的侵害。成人图像识别是重要的作品之一。为了避免现有算法的识别精度低，提出并讨论了一种以模型“ 9”的乳房为识别对象的成人图像识别算法。该算法采用模糊聚类法根据乳房特征的常见颜色对候选区域进行分割。得到初步候选区域后，算法应用appliesC;什么和ȁC; ȁD;视觉系统信息处理组成综合乳房特征向量的方法。该算法使用正向传播神经网络来判断候选区域是否为乳房特征。然后通过乳房的存在获得图像识别的结果。实验表明，所开发的识别算法可以准确地确认图像中是否存在乳房部位。因此，可以有效地应用于实际的成人图像识别系统中。

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