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Color is that attribute of light-energy which is related to the wavelength. It is well known that color carries a very important part of information regarding objects of interest in an image. This talk introduces the audience to the representation of color (color-models) and color-based segmentation of images, with several illustrative examples from the speaker's research-experience in this area over...
We propose a novel approach for solving the image segmentation and grouping problem. Our approach focuses on color and regional proximity relations in the image data. We treat image pixels as nodes in the graph so that proximity relations among both pixel's color and position are kept in geometric spanners. Geometric spanners for both color and position are created in hierarchical data structure so-called...
Image data of the entire cadaver from the Chinese visible human is being used to produce three-dimensional images and software for humanhuman anatomy research. The anatomy of human brain is more complicated. The Chinese Visible Human data was serially sectioned at 0.2 mm intervals without anything perfused. Each sectioned surface was inputted into a personal computer to produce anatomical images....
A method is proposed for the representation of localised features using disjoint sub-images taken from several datasets of retinal images for use within an incremental learning system. A tile-based localised adaptive threshold selection method was taken for vessel segmentation based on separate colour components. Arteriole-venous differentiation was done using the composite of these components and...
Based on wavelet transform possessing of specialties of multiresolution and representation local signal, this paper proposed a multiresolution technique for color medical image representation and segmentation, particularly suited for the noisy and large pathological section images. An orthogonal wavelet transform is initially applied to each color channel of the image, and a multiresolution is built...
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