Introduction - If you have any usage issues, please Google them yourself
Put forward a wavelet domain multi-scale markov random field model used to simulate the visual system in image segmentation of some function. According to human visual
Sleep system has feature detector, grade level, two-way continuity, learning mechanism, and other functions, to input scene, this model using wavelet transform provides the scene image sparse said, simulation feature detector function Use the pyramid structure simulation grade level Use two kinds of information flow simulation two-way connectivity, respectively depict bottom-up input image feature extraction process and the top-down feedback process Using iterative process simulation study mechanism Using multi-scale markov random field model to realize image segmentation.