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- W1605029543 abstract "A novel segmentation algorithm for natural color image is proposed. Fibonacci Lattice-based Sampling is used to get the symbols of image so as to make each pixel’s label containing color information rather than only as a class marker. Next, Region map is formed based on Fibonacci Lattice symbols to depict homogeneous regions. On the other hand, by applying fuzzy homogeneity algorithm on the image, we filter it to acquire Edge map. To strengthen the ability of discrimination, both the weighted maps are combined to form Region-Edge map. Based on above processes, growing-merging method is used to segment the image. Finally, experiments show very promising results." @default.
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- W1605029543 date "2005-01-01" @default.
- W1605029543 modified "2023-10-16" @default.
- W1605029543 title "A Color Image Segmentation Algorithm by Using Region and Edge Information" @default.
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- W1605029543 doi "https://doi.org/10.1007/11589990_178" @default.
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