Research on multi-threshold image segmentation algorithm based on guided filtering
Due to the lack of recognition and elimination of image background information,the image segmentation accuracy is low and the segmentation effect is not good.Therefore,a multi-threshold image segmentation algorithm based on guided filtering is proposed.The guided filte-ring algorithm is used to smooth the image pixels,denoise the image according to the feature at-tributes of multi-linear images,identify and eliminate the background information of the im-age,and extract the regional information of the image.Based on this,the membership matrix of the image is modified to obtain a new membership matrix and the optimal segmentation thresh-old,and the multi-threshold segmentation of the image is realized.The experimental results show that the algorithm has high accuracy and good segmentation effect.
万方数据
维普
