Texture classification apparatus employing coarsensess and direc

Image analysis – Pattern recognition – Classification

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Details

382170, 382194, 382262, G06K 962

Patent

active

058321187

ABSTRACT:
An apparatus for classifying a textured image based on pattern coarseness and directivity comprises: a quantizer for obtaining a quantized image from the textured image, the quantized image containing a plurality of pixels each of which is represented by one of N quantized values, N being a positive integer; a scanning block for scanning the quantized image along M scanning directions, M being a positive integer, to thereby provide M scanned images; a grey level mean runlengths configuration block for providing a set of runlengths by counting runlengths of pixels having a same quantized value, for each of the M scanned images and each of the N quantized values, to thereby provide M x N sets of runlengths, providing M.times.N mean runlengths by averaging each set of runlengths, and forming an M.times.N matrix whose elements are the mean runlengths; pattern coarseness decision block for determining a coarseness of the textured image by using the matrix; pattern directivity decision block for determining a directivity of the textured image by using the matrix; and texture classification block for classifying the textured image according to the coarseness and the directivity.

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