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Text region positioning method and apparatus for image

A text area and image technology, applied in the field of image processing, can solve the problems of reducing the amount of information in grayscale images and failing to detect text information, and achieve the effect of increasing the scope of the text area.

Inactive Publication Date: 2016-07-06
INSPUR SOFTWARE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the grayscale image only contains brightness information. Compared with the original RGB image, the information contained in the grayscale image is greatly reduced, and a lot of text information cannot be detected.

Method used

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  • Text region positioning method and apparatus for image
  • Text region positioning method and apparatus for image
  • Text region positioning method and apparatus for image

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. scope.

[0047] An embodiment of the present invention provides a method for locating a text area of ​​an image, the image is an RGB image, such as figure 1 As shown, the method may include the following steps:

[0048] Step 101: grayscale the image, and obtain the grayscale image of the image; convert the image into HSV space, and obtain the H (hue) channel ma...

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Abstract

The invention provides a text region positioning method and apparatus for an image. The image is an RGB image. The method comprises the steps of graying the image to obtain a gray map of the image; converting the image into an HSV space and obtaining an H channel map and an S channel map of the image; calculating an image gradient to obtain a gradient map of the image; obtaining all maximally stable extremal regions of the gray map, the H channel map, the S channel map and the gradient map; combining all the maximally stable extremal regions of the gray map, the H channel map, the S channel map and the gradient map as a candidate text region; judging whether the candidate text region is a text or not by using a neural network and deleting a non text region; and determining a text region of the image according to the position of the candidate text region after removal of the non text region. According to the method and apparatus, the text region of the image can be positioned according to brightness information and color information of the image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for locating a text area of ​​an image. Background technique [0002] With the improvement of people's daily life, it is more and more common for people to use mobile phones, digital cameras and other devices to take pictures of texts and images in natural scenes for preservation. Text recognition OCR (Optical Character Recognition, Optical Character Recognition) in natural scenes has become a requirement in people's daily life. For complex natural scenes, text region positioning is an essential prerequisite for OCR. [0003] Most of the existing text region positioning methods are based on grayscale images, and the text region is positioned by obtaining the grayscale image of the RGB image. [0004] However, the grayscale image only contains brightness information. Compared with the original RGB image, the information contained in the grayscale ima...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46
CPCG06V30/413G06V10/267G06V10/56G06V30/10
Inventor 马骁陈安猛王洪添郭运艳
Owner INSPUR SOFTWARE CO LTD
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