Complicated background image and character division method

A text segmentation and complex background technology, applied in the field of image processing, can solve problems such as poor text segmentation effect

Inactive Publication Date: 2013-03-13
SHANDONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

Therefore, it is not effective for text segmentation in complex backgrounds

Method used

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  • Complicated background image and character division method
  • Complicated background image and character division method
  • Complicated background image and character division method

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] The basic hardware condition needed to realize the system structure of the present invention is: a main frequency is 2.4GHZ, and the internal memory is a computer with 1G, and the required software condition is: the programming environment is Visual C++6.0.

[0045] A complex background image text segmentation method, the specific steps are as follows:

[0046] Step (1): start, read the image;

[0047] Step (2): Extract the text block in the image, and save the text block to the corresponding position;

[0048] Step (3): Judging whether all the text area blocks have been extracted, if the extraction is completed, go to step (4); if not, return to step (2);

[0049] Step (4): Extract the color features of each pixel in the text block in the RGB color space to obtain the 6-dimensional underlying local color features; if the color features of all ...

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Abstract

The invention discloses a complicated background image and character division method. The complicated background image and character division method mainly comprises the following steps of: reading an image, reading a character area of the read image, extracting a bottom layer color feature and a bottom layer texture feature of the character area, fusing the extracted bottom layer color feature and the bottom layer texture feature to obtain a bottom layer local feature, extracting a label layer global feature of the character area, fusing the bottom layer local feature and the label layer global feature of the character area to obtain feature vectors of all the pixels in the character area, training the feature vectors of all the pixels in the character area to obtain a first-stage division classifier, carrying out first-stage character division by using the trained classifier, carrying out connected element calibration on the result of the first-stage division, extracting connected element features to carry out second-stage character division, and outputting the result of the character division. The complicated background image and character division method is capable of improving the division correctness of the characters in complicated background images and has certain generality and practicability.

Description

technical field [0001] The invention relates to an image segmentation technology in the field of image processing, in particular to a text segmentation method for a complex background image. Background technique [0002] With the wide application of image acquisition equipment such as digital cameras, cameras, and ultra-high-speed scanners, the information in images has attracted more and more attention. However, it is still difficult for computers to understand the content of images. The text embedded in the image is an important way of expressing the semantic content of the image. If these words can be automatically extracted and recognized, the machine can automatically understand the content of the picture and classify the picture, and then use these words to mark and retrieve the picture with the help of mature text retrieval technology, so as to provide content-based image and video retrieval. Provide a way. However, the text embedded in the image usually has a compl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
Inventor 柏猛李敏花吕英俊
Owner SHANDONG UNIV OF SCI & TECH
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