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An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique

机译:一种基于彩色图像检索的创新皮肤检测方法   技术

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摘要

From The late 90th, "Skin Detection" becomes one of the major problems inimage processing. If "Skin Detection" will be done in high accuracy, it can beused in many cases as face recognition, Human Tracking and etc. Until now somany methods were presented for solving this problem. In most of these methods,color space was used to extract feature vector for classifying pixels, but themost of them have not good accuracy in detecting types of skin. The proposedapproach in this paper is based on "Color based image retrieval" (CBIR)technique. In this method, first by means of CBIR method and image tiling andconsidering the relation between pixel and its neighbors, a feature vectorwould be defined and then with using a training step, detecting the skin in thetest stage. The result shows that the presenting approach, in addition to itshigh accuracy in detecting type of skin, has no sensitivity to illuminationintensity and moving face orientation.
机译:从90年代末开始,“皮肤检测”成为图像处理中的主要问题之一。如果“皮肤检测”将以高精度进行,则可以在许多情况下用作面部识别,人体跟踪等。到目前为止,提出了许多解决该问题的方法。在大多数这些方法中,颜色空间用于提取特征向量以对像素进行分类,但是大多数方法在检测皮肤类型方面都没有很好的准确性。本文提出的方法基于“基于颜色的图像检索”(CBIR)技术。在该方法中,首先通过CBIR方法和图像平铺,并考虑像素与其邻居之间的关系,定义特征向量,然后通过训练步骤,在测试阶段检测皮肤。结果表明,本文提出的方法除了具有较高的检测皮肤类型的准确性外,对光照强度和移动人脸方向也不敏感。

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