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- W2358621131 abstract "To deal with the low recognition rate of the uneven illumination of text image,an adaptive correction algorithm based on regions was put forward.Firstly,the difference between the background points and destination points was pulled through the eight fields of three-dimensional enhancement.Then,through the analysis of characteristics of the text image,the image's region was classified by using the projection technique.The global correction was used to deal with the non-text area and the uniform illumination area,and combining with characteristics parameters for evaluating image quality assessment,the shaded area was corrected locally to achieve complete separation of backgrounds and objectives.Finally,the characteristic of image noise distribution was analyzed,and the neighborhood denoising method was adopted to correct mistakes pixels.The experimental results show that this algorithm can effectively separate the target pixel and the background pixel of uneven illumination of text image,and the visual rendering after processing can be used for reading and improving the recognition rate of OCR system." @default.
- W2358621131 created "2016-06-24" @default.
- W2358621131 creator A5074580777 @default.
- W2358621131 date "2014-01-01" @default.
- W2358621131 modified "2023-09-23" @default.
- W2358621131 title "Uneven illumination of text image correction method based on area" @default.
- W2358621131 hasPublicationYear "2014" @default.
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