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Titlebook: Computer Analysis of Images and Patterns; 16th International C George Azzopardi,Nicolai Petkov Conference proceedings 2015 Springer Interna

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Human Skin Segmentation Improved by Saliency Detection,ion, among others. Human skin detection is still a challenging task since it depends on inumerous factors, for instance, illumination conditions, ethnicity variation and image resolution. This work proposes and analyzes a skin segmentation method improved by saliency detection. Experimental results
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Entropy-Based Automatic Segmentation and Extraction of Tumors from Brain MRI Images,n extended concept of image entropy. The latter is computed over gray levels (which are in fixed number) instead of single pixels. The obtained measure can be assumed as a measure of homogeneity/similarity of regions, and therefore be the base for image segmentation. Being independent from the numbe
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Multiple Hypothesis Tracking with Sign Language Hand Motion Constraints,racking framework. A critical component for automated visual sign language recognition is the tracking of the signer’s hands, especially when faced with frequent and persistent occlusions and complex hand interactions. Hand motion constraints identified by sign language phonological models, such as
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0302-9743 rence on Computer Analysis of Images and Patterns, CAIP 2015, held in Valletta, Malta, in September 2015. The 138 papers presented were carefully reviewed and selected from numerous submissions. CAIP 2015 is the sixteenth in the CAIP series of biennial international conferences devoted to all aspect
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