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Binarization method for image processing in complex background

An image processing and complex background technology, applied in the field of image processing, can solve problems such as inapplicability, introduction of large noise, inability to deal with inverse colors, etc., to achieve the effect of reducing the false recognition rate and increasing the recognition rate

Inactive Publication Date: 2009-12-09
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

For example, the Niblack method is very suitable for processing text information, but at the same time, it will introduce a lot of noise on the background. Although the Sauvola method reduces the noise, it cannot deal with the situation of inverted colors.
Although the Kasar method can filter a large amount of non-text information, it cannot be applied to all kinds of text

Method used

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  • Binarization method for image processing in complex background
  • Binarization method for image processing in complex background
  • Binarization method for image processing in complex background

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Embodiment Construction

[0035] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] (1) if figure 1 As shown, this new binarization method for complex image text information includes the following steps: edge detection of multi-scale canny operator; marking connected branches as circumscribed rectangles; screening rectangles with text information; The rectangular frame extracts the foreground color and background color respectively; finally, each frame is binarized by the formula mentioned above.

[0037] (2) Edge detection of multi-scale canny operator

[0038] Such as figure 2 , after grayscale processing of the input color image, multi-scale canny edge detection is performed. The input image can be any color image, but it needs to contain certain text information. Book covers were mainly used in the experiment. This image contains Chinese and English character information, as well as non-text information such ...

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Abstract

The invention relates to method in technical filed of image processing, in particular to a binarization method for image processing in complex background, wherein the method comprises the following steps: carrying out edge detection of multi-scale canny operator to input image; marking connected components; drawing external rectangular frame to every independent connected component; carrying out filtering of the classifier to every rectangular frame to remove the characteristic area without character; screening out the rectangular frame with the character; extracting foreground color and background color to the rectangular frame which is screened out; carrying out solely binarization processing to every rectangular frame based on these two colors to obtain the final binarization result comprehensively. With very high accuracy and definition, the invention can greatly increase the recognition rate of the character, and the effect is superior to other methods.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a binarization method for image processing under complex backgrounds. Background technique [0002] People will come into contact with a large number of image materials in daily life, such as color pictures, covers, posters and so on. These image data contain very rich text information. Therefore, image-based text recognition has also been widely used. Notice that binarization is required before text recognition. This operation converts a color image into a black and white image. Many important technologies, such as OCR (character recognition), are closely related to binarization operations. The quality of the binarization effect directly affects the recognition rate of OCR. There is a large amount of information on a picture, which can be divided into text information and non-text information. After non-text information is processed by OCR, a lot of ga...

Claims

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Application Information

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IPC IPC(8): G06K9/38
Inventor 陈凯齐开悦张志远李晨轩管海兵
Owner SHANGHAI JIAO TONG UNIV
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