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- W2357221377 abstract "Aiming at the pre-processing requirement of mark image in comparing and distinguishing design, the proposed paper describes a two-dimensional vector with pixel grayscale of image and neighborhood information as cluster sample. The threshold is dependent on two-dimensional histogram. We give a multi-threshold segmentation processing method to mark image using weighted fuzzy c-means clustering algorithm. The results of the experiment show that the weighted fuzzy clustering algorithm based on sample is rapid, and has better segmentation effect on mark image." @default.
- W2357221377 created "2016-06-24" @default.
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- W2357221377 date "2010-01-01" @default.
- W2357221377 modified "2023-09-23" @default.
- W2357221377 title "Application of Fuzzy Clustering to Mark Image Segmentation" @default.
- W2357221377 hasPublicationYear "2010" @default.
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