Scale co-occurrence matrix: Difference between revisions

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'''Scale co-occurrence matrix (SCM)''' is a method for image feature extraction within scale space after [[wavelet transform]]ation, proposed by Wu Jun and Zhao Zhongming (Institute of Remote Sensing Application, [[China]]). In practice, we first do discrete wavelet transformation for one gray image and get sub images with different scales. Then we construct a series of scale based concurrent matrixes, every matrix describing the gray level variation between two adjacent scales. Last we use selected functions (such as Harris statistical approach) to calculate measurements with SCM and do feature extraction and classification.