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- W2377187814 abstract "Image segmentation is the digital image is decomposed into a number of mutually non-overlapping target area and the background area collection. In many segmentation image segmentation algorithm,the segmentation of the image has lost many important information of the original image,such as gray details,texture details,etc. In biomedical imaging engineering,satellite remote sensing and other fields,keeping need to pre-process the image segmentation much information as possible when the original image,and therefore the need for more multi-value image clustering segmentation. In this regard,the paper PCNN model combining traditional and mutual information,with the greatest mutual information as a split target,mutual information entropy difference for the new classification criteria proposed maximum information PCNN improved multi-valued image segmentation method and its application in different image segmentation. The experimental results show that the algorithm can automatically for different image segmentation,higher segmentation accuracy,detail and edge protection can be a good,strong adaptability and the ability to have a good characteristic division." @default.
- W2377187814 created "2016-06-24" @default.
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- W2377187814 date "2015-01-01" @default.
- W2377187814 modified "2023-09-25" @default.
- W2377187814 title "Research on The Algorithm of Image Segmentation Based on Improved PCNN Algorithm" @default.
- W2377187814 hasPublicationYear "2015" @default.
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