TEXTURE-BASED SEARCHING METHOD WITH CO-OCCURRENCE MATRIX AND NORMALIZED EUCLIDEAN DISTANCE

摘要

PURPOSE: A texture-based searching method with co-occurrence matrix and normalized Euclidean distance is provided to search a moving image effectively based on co-occurrence matrix and normalized Euclidean distance. CONSTITUTION: A texture feature vector is obtained through co-occurrence matrix of a selected distance of a sample image. The input image is analyzed based on a window. A texture feature is obtained by the co-occurrence matrix of the analyzed window-based image. A normalized Euclidean distance between the texture feature vectors of the selected distance and the window is obtained. The normalized Euclidean distance is compared with a specific value. Finally, the current texture is recognized as a different one if the normalized Euclidean distance is larger or the same as the specific value. Otherwise, the texture is the same.