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- W2365149184 abstract "In order to extract the cellulose of Miscanthus sacchariflorus cells,the fast discrete curvelet transform combining with gray level co-occurrence matrix was applied to extract the image feature vectors,and then SVM was used to segment the images.Experiments are carried out with this method,and the results show that it is effective to compute the gray level co-occeurrence matrix of sub-band coefficient with Angle second order moment,contrast,correlation and entropy as the four statistics in image transform domain.According to this,texture segmentation on Miscanthus sacchariflorus cells is feasible.And compared with the texture segmentation method based on gray level co-occurrence matrix(GLCM),the new method shortens the running time and makes the segmentation accuracy improved." @default.
- W2365149184 created "2016-06-24" @default.
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- W2365149184 date "2012-01-01" @default.
- W2365149184 modified "2023-09-23" @default.
- W2365149184 title "Miscanthus Sacchariflorus Cells Image Segmentation Based on Curvelet Transformation" @default.
- W2365149184 hasPublicationYear "2012" @default.
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