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Titlebook: Computer Analysis of Visual Textures; Fumiaki Tomita,Saburo Tsuji Book 1990 Springer Science+Business Media New York 1990 Image segmentati

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Renouvellement et existence de resolvantes,ace in the image from projective distortions of textures which cover the surface (Figure 1.2). Endowing machines with these visual abilities is not only an interesting problem in computer science, but also practically important for automatic analysis of aerial photographs or medical images and for mobile robots with vision.
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Problems frontieres en theorie du potentiel, the medial-axis transformation of the area which is good at analyzing elongate shape, and the segmentation of the boundary which is good at analyzing polygonal shape. This chapter presents the four basic algorithms for analysis of two-dimensional shape.
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Shape Analysis, the medial-axis transformation of the area which is good at analyzing elongate shape, and the segmentation of the boundary which is good at analyzing polygonal shape. This chapter presents the four basic algorithms for analysis of two-dimensional shape.
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Francis Hirsch,Gabriel Mokobodzki. Statistics give various measures of texture properties. Statistics need not be only for intensities. Statistics of such local geometrical features as edge, peak and valley, and spot or blob, give measures of specific texture properties. This chapter overviews the measures of texture properties given by statistical texture analysis.
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Espaces de dirichlet et axiomatique Brelot,g to the inclination. The role of texture as a basis for the recovery of surface orientation was first investigated by Gibson (1950), and the method to estimate the surface orientation from the apparent texture distortion is called ..
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Book 1990s of objects such as textiles, tree barks or stones. Texture analysis is one of the first important steps in computer vision since texture provides important cues to recognize real-world objects. A major part of the book is devoted to two-dimensional analysis of texture patterns by extracting statis
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