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《Computer Simulation》 2017-12
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Simulation Research on Dynamic Target Optimization Extraction of Bionic Image

HUANG Li-da;CHEN Yan;GAN Guan-xin;Guangxi Univerisity;  
This article puts forward an extraction method for bionic image object based on fuzzy entropy measure.Firstly,this method extracted feature information of region fractal dimension of multi-fuzzy object in accordance with bionic image feature,and then decomposed feature information of bionic image fractal dimension to extract object,thus processed wavelet sub-band of low frequency of multi-fuzzy object after fuzzy processing. Finally,this method achieved brightness dynamic adjustment of multi-object region in bionic image. The simulation results show that the method in this paper can effectively improve gray dynamic range of multi-fuzzy object region. It can also extract edge and detail of local region of multi-fuzzy object,and highlight edge of object location region and detail information.
【CateGory Index】: TP391.41
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