Method for rapidly calculating characteristic differences of texts and images

A technology of image features and fast calculation, applied in the field of computer vision and image processing, to reduce the number of comparisons and reduce negative effects

Active Publication Date: 2013-12-11
徐州国隆电力配件铸造有限公司
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[0011] Although the existing methods have proposed many similarity measures

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  • Method for rapidly calculating characteristic differences of texts and images
  • Method for rapidly calculating characteristic differences of texts and images
  • Method for rapidly calculating characteristic differences of texts and images

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[0055] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0056] The rapid calculation method of character image feature difference provided by the present invention, in order to define the matching relationship between character image blocks and reduce time consumption, a step-by-step refinement strategy is adopted: first extract the four coarse features of the character block for preliminary screening, and then use the correction The template matching method is used to obtain the normalized matching value, and the time performance of building the similarity matrix is ​​improved by using the acceleration strategy of lookup table combined with bit storage.

[0057] Based on the diversity of geometric shape features, in order to effectively describe various texts as a whole and reduce the negative impact of image distortion, this method selects the nu...

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Abstract

The invention discloses a method for rapidly calculating characteristic differences of texts and images. The method includes the steps that firstly based on diversity of geometrical shape characteristics, the texts with large differences are preliminarily screened according to four characteristics of the number of foreground pixels, the sizes of the texts, the length-width ratio and the duty ratio, then, the texts are effectively described on the whole, and the negative effects caused by image distortion are reduced at the same time; after preliminary screening is conducted, fine characteristics of remaining pairs are described, a corrected template matching method is adopted, according to the corrected template matching method, a given template slides in the images, and then targets matched with the template are acquired. Coarse characteristic screening and fine template matching are sequentially conducted on text blocks, the differences of the sizes of the text blocks are limited by the sizes of the texts in coarse characteristics, and therefore the number of comparison times in the matching process is greatly reduced. Furthermore, the invention provides a lookup table associative bit memory accelerating method, and the performance of the accelerating method is improved by building the corresponding relation between the text blocks and data in advance according to similarity measurement characteristics.

Description

technical field [0001] The invention belongs to the field of computer vision and image processing, and relates to a fast calculation method for feature differences of characters and images. Background technique [0002] In the prior art, the similarity measurement method for large data volume features mainly has the following aspects: [0003] 1) Video text recognition based on wavelet transform and similarity measure, Computer Engineering and Design, 2008, Yang Qiang, Cheng Yukun, Ma Sen. [0004] The processing object of this method is subtitles in videos. It mainly studies the extraction and recognition of subtitles in videos, and uses the method of similarity measurement to identify video subtitles. First, the character image to be matched and the character image in the template library are respectively decomposed into N levels, and the low-frequency parts after each level of decomposition are reserved, and then the error accumulation method is used to roughly search fo...

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Application Information

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IPC IPC(8): G06K9/00G06K9/20
Inventor 宋永红张元林雍旭东孟泉刘跃虎陈晓
Owner 徐州国隆电力配件铸造有限公司
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