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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algorithm analyzed approximately areas bidirectional blob-like texture blobs cellular space clustering color regions components computer vision connected mapping continuous Fourier transform contrast correspond defined described Descriptors Derived directional texture directionality distance edge example feature vector Fourier domain Fourier operator Fourier transform frequency function P(r geometric global go to step grass ground plane horizon Hubel identification image elements image space implementation interpretation interval analysis Julesz linear lines monodirectional texture object space orientation outdoor scenes P(co P(cp parameters Pattern Recognition peaks perception picture function pilot cell power spectrum presheaf Psychol random receptive fields region grower retinal rocks sample shape sheaf sheaf theory sheaf-theoretic sheaves similarity spatial domain spatial relations species SIGMA Stanford structure subsets surface techniques textural properties texture boundaries texture descriptors texture elements texture gradient textured regions threshold topological trees vertical Visual visual perception width world model XSIDE