An Adaptive Binarization Segmentation Method for Images of Inscriptions of Chinese Characters
An image binarization and adaptive technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of loss, low processing efficiency, incomplete target and background separation, and achieve accurate character segmentation and enhancement. The effect of character detail
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[0039] Embodiment, the present embodiment is a kind of self-adaptive Chinese character inscription post image binarization segmentation method, uses color image to develop a kind of robust algorithm, is used for segmenting Chinese rubbing image from background, comprises the following steps:
[0040] 1) Using median filtering processing, median filtering allows a large number of high spatial frequency details to pass through, while being very effective in removing noise on images with less than half the pixels in smooth neighborhoods;
[0041] 2) Extract the red component;
[0042] 3) Morphological image processing operations so that if a minimum BRISQUE is found, the optimum diameter Thr* of the disc can be found;
[0043] 4) Use Otsu to segment the binary image.
[0044] The flowchart of the proposed segmentation method is attached figure 1 shown.
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