| 摘要 |
An apparatus for classifying a textured image based on pattern coarseneess 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 x N mean runlengths by averaging each set of runlengths, and forming an M x N matrix whose elements are the mean runlengths; pattern coarseness dicision block for determining a coarseness of the textured image by using the matrix; pattern diriectivity 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. <IMAGE> |
