Self-adaptive Chinese character inscription rubbing image binarization segmentation algorithm

Abstract

The invention discloses a self-adaptive Chinese character inscription rubbing image binarization segmentation algorithm. The method comprises the following four steps of (1) performing preprocessing by adopting median filtering; (2) extracting a red component; (3) performing morphological operation to look for optimal background estimation; and (4) segmenting a binary image by Otsu. The inventionbelongs to the technical field of Chinese character inscription rubbing image segmentation. The stroke characteristics of Chinese characters are reserved while the details of the characters are enhanced. For a degraded historical inscription rubbing image, the invention provides a self-adaptive degraded non-uniform illumination image binarization segmentation algorithm based on background estimation. The method provided by the invention has the novel effects that optimal background estimation based on blind / no reference image space quality evaluation is found, and an experiment result shows that the method can carry out more accurate character segmentation on the degraded 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 algorithm 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 an...

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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