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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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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Technical problem 1: Extraction of text features after natural scene image preprocessing
[0011] Technical Problem 2: Candidate Connected Domain Filtering Problem
[0012] Technical problem 3: Combination of single-word connected domains

Method used

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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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Embodiment

[0039] Such as figure 1 As shown, the text positioning method combined with the maximum extremum 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, including:

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

[0042] The maximum stable extremum region is an algorithm that depends on the relationship between the interior of the region and the boundary pixels. For the grayscale image I: Its maximum stable extremum region is defined as: S is a total order, S=(0,1,...,255}, and satisfies antisymmetry, transitivity, and completeness; define the neighborhood relationship of 4 neighborhoods When p, q∈D, if satisfy p, q are adjacen...

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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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