Abstract
Image processing is generally constructed based on the gray information such as statistical gray histogram, gradient, texture, etc. However, a concrete technique that used this co-occurrence procession had been chiefly limited to the texture identification. Since the gray histogram is the most influential for extracting the global image properties, it has been always expected to be improved or extended. From this view point, it was notable that Dr. Kashiwagi proposed a new paradigm of feature extraction called Frequency Image (FI). As well as histogram, co-occurrence histogram or co-occurrence matrix is also such influential basic image feature especially for the texture feature analysis. In this paper, we introduce a new paradigm of texture feature image called “Co-occurrence Frequency Image (CFI)” as a complete extension of FI.
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