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The paper investigates the possibility of using statistical textural features for the analysis of photogrammetric images. The textural features were calculated on the basis of the brightness probability distribution matrices. In order to analyze the images, the fields of textural features are developed using algorithms for recursive recalculation of features and the matrix itself. Further processing of textural fields allows to distinguish objects and alignment marks in images. The paper investigates the accuracy of the algorithms and their resistance to additive noise.
photogrammetric image, statistical textural feature, brightness probability distribution matrix, recursive recalculation, matrix, additive noise.
Bavrina AY, Ilyasova NY, Kupriyanov AV, Khramov AG. Investigation of photogrammetric images using brightness distribution probability matrices. Computer Optics 2002; 23: 62-65.
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