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We propose a skin detection approach that works for digital color images. First, we make an introduction in this image analysis domain, mentioning the most important human skin identification techniques. Then, we provide a pixel-based skin color detection technique for RGB images. Our approach performs the identification of skin regions using conversions between color spaces and formulating a set of restrictions on the color components. Some experiments, proving the effectiveness of the proposed method, are also d...

In order to prepare minimal feature vectors to be used in a Content Based Image Recognition (CBIR) system, we are proposing methods that can accurately identify the main colors contained in a digital image. The methods use the “LAB” color space properties that allow for all the colors of the same intensity or luminance “L” to be placed uniformly in the same “ab” plane. Basically, RGB images are first preprocessed: trimmed, scaled and transformed in the LAB color space. Then (a,b) pairs, corresponding t...