Text localization method for stabilizing region and stroke width changes in combination with maximum extreme value

A technique of stroke width and stable area, applied in the field of image processing, to achieve the effect of high accuracy and obvious practical significance

Inactive Publication Date: 2018-05-15
JIANGSU UNIV OF SCI & TECH +1
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AI Technical Summary

Problems solved by technology

[0010] Technical problem 1: Extraction of text features after natural scene image preprocessing
[0011] Technical Problem

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  • Text localization method for stabilizing region and stroke width changes in combination with maximum extreme value
  • Text localization method for stabilizing region and stroke width changes in combination with maximum extreme value
  • Text localization method for stabilizing region and stroke width changes in combination with maximum extreme value

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Example Embodiment

[0038] Example

[0039] Such as figure 1 As shown, the text positioning method combining the maximum extreme stable area and the stroke width feature provided by this embodiment includes the following steps:

[0040] 1. The steps of using MSER to perform text detection on the input image include:

[0041] The extraction of the stroke width feature depends on the edge feature effect of the image. The present invention combines MSER to perform text detection on the image to obtain a rough text position, which improves the accuracy of subsequent image marginalization and stroke width feature extraction.

[0042] The maximum stable extreme value area is an algorithm that depends on the relationship between the interior and boundary pixels of the area. For the gray image I: The definition of the maximum stable extreme value region is: S is total order, S=(0,1,...,255}, and satisfies antisymmetric, transitive, and completeness; defines the neighborhood relationship of 4 neighborhoods Whe...

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Abstract

The invention relates to a text method for stabilizing region and stroke width changes in combination with a maximum extreme value. The method comprises the steps of performing text detection on an image by use of an MSER (Maximally Stable Extremal Region); then marginalizing the image; calculating a stroke width value along a gradient direction of an edge pixel point; removing a noisy point and filling a gap by use of a morphological operation, and calculating to obtain connected regions; and finally, filtering a non-text field according to a rule and combining the connected regions. The textmethod for stabilizing the region and stroke width changes in combination with the maximum extreme value has the advantages that a rough text field is acquired through MSER detection, the text localization in a natural scene image is realized in combination with marginalization, stroke width change characteristics and the morphological operation; experiments prove that the text method is high inaccurate rate and is beneficial to future text segmentation and text recognition work and has obvious practical meaning in the field of natural scene text localization and can be widely popularized and utilized.

Description

technical field [0001] The invention relates to image processing in the field of artificial intelligence computers, in particular to a method for realizing text positioning in natural scenes by using image processing. Background technique [0002] In the process of text positioning in natural scenes, there is a basic and unavoidable problem: for images with complex natural backgrounds, how to avoid the influence of factors such as text layout, font type, light intensity, and shooting angle, and accurately obtain text Location. [0003] Text positioning is crucial in the text detection process, and the quality of the text positioning effect directly determines the accuracy of subsequent text segmentation and text recognition. Text localization is more and more widely used in natural scenes, but the complex natural scene environment brings many challenges to this technique. Different from the traditional text positioning technology, there are a lot of distracting objects in ...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/40G06K9/44G06K9/46
CPCG06V10/22G06V10/34G06V10/30G06V10/44
Inventor 张再跃潘立刘亮亮刘嘎琼武子毅
Owner JIANGSU UNIV OF SCI & TECH
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