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Skin detection is one of the most important targets of image processing and computer vision. One big concern about skin detection algorithms is their simplicity while keeping a good accuracy in discriminating skin and non-skin pixels. This paper presents a novel and robust skin detector. In this study, statistical information of each pixel and its neighbours were taken into account in order to deal...
The main goal of our research was to compile new methodology for building simplified learning models in a form of quasi-optimal sets of decision rules. The source informational database was extended by application of constructive induction to get a new, additional descriptive attribute, and then sets of decision rules were developed for source and extended database, respectively. In the last step,...
In this paper, computer-aided diagnosing and classification of melanocytic skin lesions is dealt with and briefly described. The main goal of our research was to elaborate an entirely new version of the previously developed decision support system, available now in the Internet. Its functionality and structure is here in short reported. In the current version of the system, five learning models are...
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