Application of Co-Occurrence Frequency Image

We have revealed that the co-occurrence frequency image (CFI) based on the co-occurrence histogram (CH) of the gray level value of an image has a new potential to introduce a new scheme for image feature extraction. Our method and filters are very similar to the previous methods in result but quite different in process from those which have been used so far. Thus, we could show a possibility for introducing a new paradigm for basic image processing methods by means of CFI. We found that the CFI has better generalization performance than the texture analysis method and therefore CFI has high potentiality for the application to image processing methods. In addition in this paper, we extended CH and CFI from binary to ternary for enforcing the potential.