An Adaptive Binarization Segmentation Method for Images of Inscriptions of Chinese Characters

Abstract

The invention discloses an adaptive binary image segmentation method of Chinese character inscriptions. The method is divided into four steps: (1) preprocessing by median filtering; (2) extracting red components; (3) morphological operation with Find the best background estimate; (4) Otsu segment the binary image. The invention belongs to the technical field of image segmentation of Chinese character inscriptions, which preserves the stroke features of Chinese characters and enhances the details of characters. Aiming at degraded images of historical inscriptions, the invention proposes an image binarization adaptive segmentation algorithm based on background estimation and non-uniform illumination degradation , the novelty of the proposed method lies in finding an optimal background estimate based on blind / no-reference image spatial quality assessment, and experimental results show that the method is capable of more accurate character segmentation for degenerated Chinese characters.

Description

technical field [0001] The invention belongs to the technical field of image segmentation of Chinese-character inscriptions, and specifically refers to an adaptive binary image segmentation method for Chinese-character inscriptions. Background technique [0002] An important way for China to preserve its own history and culture is the memory written on stones - inscriptions. At the same time, rubbings are an important part of ancient Chinese books, and they are the main source for people to learn and research history. The digitization of rubbing documents is a new way to promote and inherit Chinese traditional art, and a new way of thinking to protect stone cultural relics. On the other hand, rubbings of extant ancient books often lose their visual quality. With the passage of time, due to the influence of many factors such as its storage conditions, humidity, and pollution, after the rubbings are copied into digital images, it is difficult to separate the foreground and b...

AI Technical Summary

Problems solved by technology

In general, choosing an algorithm for degraded inscription images is a very difficult process

Due to the existence of complex degradation, many experimental results show that the traditional weak target image uniform illumination processing method has shortcomings such as incomplete separation of target and background or target loss, low processing efficiency, etc.

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