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— Diagnosis of diseases like malaria are very dependent on the identification of parasites in blood. Various methods have been applied for this process. The majority uses machine learning to identify the parasites. This method has shortcomings in long training time and the need to be retrained if a new data emerged. Of the various methods that have been(More)
A new approach for detecting faces in a digital image with unconstrained background has been developed. The approach is composed of three phases: segmentation phase, filtering phase and localization phase. In the segmentation phase, we utilized both training and non-training methods, which are implemented in user selectable color space. In the filtering(More)
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