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- W2387274312 abstract "This paper proposes a method for extracting text regions from natural scene images.This method includes two parts,text region candidates extraction and candidate regions further classification of text region or non-text region.The text region candidates are extracted through a modified fuzzy C-means clustering algorithm combined with Laplacian mask and maximum gradient difference value,which involves texture features and HSL color space information.The candidate regions are checked by edge density information and shape information of the connected components based on Markov Random Field(MRF) model.The proposed method achieves reasonable accuracy for text extraction from examples of the ICDAR 2003 database." @default.
- W2387274312 created "2016-06-24" @default.
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- W2387274312 date "2011-01-01" @default.
- W2387274312 modified "2023-09-23" @default.
- W2387274312 title "Scene Text Extraction Method Based on Clustering and MRF Model" @default.
- W2387274312 hasPublicationYear "2011" @default.
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