Implementation of Gabor Filtering Algorithm in Neighborhood Processors

This processo rutilizes logic resources of FPGA to build up pipelined parallel convolution matrix, and use high level language to support any scale. Experiment indicates that Gabor filters with five scales and eight orientations (complex kernels) on 120×90 grey image take 47 ms on hardware platform with EP2C70F896C8 FPGA working at 45 MHz external clock, 180 MHz internal clock, gaining a speedup ratio of 17.6 compared to Matlab.