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A method and system for text detection in natural scenes based on non-local networks

A technology for natural scene and text detection, applied in the field of image processing, can solve the problem of misjudging the background area as a text target, etc., and achieve the effect of reducing the resolution of feature maps, reducing the number of channels, and improving the accuracy.

Active Publication Date: 2022-02-15
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a method and system for text detection in natural scenes based on non-local networks, thereby solving the technical problem of misjudging the background area as a text object in the prior art

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[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0044] The invention provides a method for detecting text in natural scenes based on a non-local network. The purpose is to reduce the generation of false positive samples by adding the global information of the picture to the region of interest in the feature extraction stage by constructing a non-local network.

[0045] Such as figure 1 As shown, a non-local network-based natural scene text d...

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Abstract

The invention discloses a method and system for detecting text in a natural scene based on a non-local network, which belongs to the technical field of image processing. features; use the reconstructed features to generate candidate regions of the text; extract regions of interest based on the candidate regions, and classify the region of interest through text and non-text classification and adjust the position and size through the classification and regression network, and finally get the image Text target in . The present invention can effectively suppress the occurrence of false positive samples in the text detection results by using the non-local network to reconstruct each scale feature, thereby solving the technical problem of misjudging the background area as a text object in the prior art.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to a method and system for detecting text in natural scenes based on non-local networks. Background technique [0002] As a form of expression of text, text in natural scenes has rich and precise high-level semantic information, which plays a very important role in understanding the surrounding scenes. Because of this, the automatic acquisition of text information in natural scenes has broad application prospects in areas such as autonomous driving, instant translation, robot navigation, and industrial automation. How to accurately and efficiently extract text information in natural scenes has become one of the current hot issues in computer vision. This task includes two sub-tasks, text detection and text recognition. The former is the premise of realizing the latter. [0003] In the existing two-stage natural scene text detection algorithm, after obtainin...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/62G06V30/146G06V30/18G06V30/19G06V30/148G06V10/46G06K9/62
CPCG06V20/10G06V20/63G06V30/158G06V10/464G06V30/10G06F18/2415G06F18/241
Inventor 姜军解猛周作禹胡忠冰曾雄梅胡若澜
Owner HUAZHONG UNIV OF SCI & TECH