Computer identification of textured visual scenes
The work deals with computer analysis of textured outdoor scenes involving grass, trees, water and clouds. Descriptions of texture are formalized from natural language descriptions; local descriptors are obtained from the directional and nondirectional components of the Fourier transform power spectrum. Analytic expressions are obtained for orientation, contrast, size, spacing, and in periodic cases, the locations of the choice of sizes is made by a simple higher-level program. The process of region growing is represented by a sheaf-theoretical model which formalizes the operation of pasting local structure (over a window) into global structure (over a region). Programs were implemented which form regions of similar color and similar texture with respect to the local descriptors. (Author Modified Abstract).
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PROCEDURES FOR TEXTURE DESCRIPTORS
k COLORED AND TEXTURED REGIONS
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algorithm approximately areas bidirectional blob-like texture blobs bush cellular space clustering color regions components connected mapping continuous Fourier transform contrast coordinate correspond defined depends described directional texture directionality distance Doctor of Philosophy edge example feature vector Fourier domain Fourier operator Fourier series Fourier transform function P(cp geometric global go to step grass ground plane horizon identification image elements implementation interpretation interval analysis Julesz lattice linear lines monodirectional texture object space orientation outdoor scenes overlapped parameters pattern peaks perception phase spectrum picture function pictures in Fig pilot cell power spectrum presheaf receptive fields region grower relationships rocks samples shape sheaf sheaf-theoretic sheaves similarity simple spatial domain spatial relations species SIGMA structure subsets surface techniques textural properties texture boundaries texture descriptors texture elements texture gradient textured regions threshold topological trees vertical visual visual perception wavelength width world model XADJ XSIDE