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Tuberculosis (TB) is a communicable disease for which early diagnosis is critical for disease control. Manual screening for TB identification involves a labor-intensive task with poor sensitivity and specificity. To improve the diagnostic process we develop an automated system for TB identification, which consists of an automatic microscope, an image-based autofocus algorithm and an image-based TB...
Auto-focusing is one of the key issues in motorized biological microscopes as it strongly affects the quality of the microscopic images. Auto-focusing is a difficult problem because the size of biological objects is as small as a few micrometers, and the problem is even more challenging when the density of the image content is low. In this paper, we propose a content based focus measure for guiding...
This paper presents a new 3D reconstruction method using feature points extracted by the SIFT and Harris corner detector. Since the SIFT feature points can be detected stably and relatively accurately, the proposed algorithm first uses the SIFT matching points to calculate the fundamental matrix. On the other hand many of the feature points detected by the SIFT are not what we need for reconstruction,...
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