Kamal Chenaoua

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In this paper, human skin detection is performed using a new color space coordinate and a Markov random field based approach. The proposed color space uses a variant of the principal component analysis technique to reduce the number of color components. The MRF model takes into account the spatial relations within the image that are included in the labeling(More)
Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Color components are considered features from which a representative set is derived using the PCA technique. An(More)
In this paper, a new technique is proposed for the segmentation of color images. The technique is based on the use of the sigma filter and multithresholding of 2-band histograms. A sigma filter is first applied to smooth out regions while keeping edges. Histograms are then computed, smoothed and downsampled. A peak picking algorithm finds the predominant(More)
A new color space is used in this paper together with a Markov Random Field model for the detection of skin pixels in colored images. The proposed color space is derived through the principal component analysis technique thus reducing the number of color components. The MRF model takes into account the spatial relations within the image that are included in(More)
Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Selection of the best color components is based on the use of the mutual information and maximum relevance(More)
Image segmentation plays an important role in computer vision systems. An algorithm based on dimension reduction and the mean shift algorithm is used for the segmentation of color images. The Non negative matrix factorization is used for the transformation of the RGB components to a lower dimensional space. The mean shift algorithm is used to cluster the(More)
An outlier removal based data cleaning technique is proposed to clean manually pre-segmented human skin data in colour images. The 3-dimensional colour data is projected onto three 2-dimensional planes, from which outliers are removed. The cleaned 2 dimensional data projections are merged to yield a 3D clean RGB data. This data is finally used to build a(More)
Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Color components are considered features from which a representative set is derived using the Principal Feature(More)
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