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Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is the segmentation of white blood cell (WBC) where the WBC composition reveals important diagnostic information of a patient. In this paper, the combination between linear contrast technique and colour segmentation based on HSI (Hue, Saturation,...
Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computer-assisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process. After that, moving k-mean clustering using green...
Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in images of Ziehl-Neelsen sputum slides. The color thresholding technique is being carried out based on the adaptation and slight modification of the grey level thresholding algorithm. Multilevel thresholding has...
Pap test is probably the most common screening method for cervical cancer. In general, the test is performed by examining the cells using a microscope. While Pap test undoubtedly facilitates diagnosis, it suffers from a number of weaknesses such as blurriness as well as the effects of unwanted noises, which may lead to false diagnosis. In order to address some of these problems, this study discusses...
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