Image processing for a tactile/vision substitution system using digital CNN

In view of the parallel processing and easy implementation properties of CNN, we propose to use digital CNN as the image processor of a tactile/vision substitution system (TVSS). The digital CNN processor is used to execute the wavelet down-sampling filtering and the half-toning operations, aiming to extract important features from the images. A template combination method is used to embed the two image processing functions into a single CNN processor. The digital CNN processor is implemented on an intellectual property ([P) and is implemented on a XILINX VIRTEX II2000 FPGA board. Experiments are designated to test the capability, of the CNN processor in the recognition of characters and human subjects in different environments. The experiments demonstrates impressive results, which proves the proposed digital CN-TN processor a powerful component in the design of efficient tactile/vision substitution systems for the visually impaired people.