Image detection method and device

An image detection and initial image technology, applied in the field of image processing, can solve problems such as difficult to effectively deal with complex backgrounds, failure to meet real-time requirements, and increased computational complexity, so as to reduce the amount of calculation, improve accuracy, and improve detection. efficiency effect

Inactive Publication Date: 2017-06-13
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The method based on the sliding window refers to sliding a multi-scale window from left to right and from top to bottom in the image, and classifying the image in the sliding window to determine whether it is a text area. In order to be able to detect all Text area, this method usually requires a large number of sliding windows, resulting in increased computational complexity and cannot meet real-time requirements
[0005] The method based on connected regions refers to the similarity clustering of pixels according to the inherent properties of the text, such as col

Method used

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  • Image detection method and device

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Experimental program
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Embodiment 1

[0028] Please refer to figure 1 , which is a schematic flowchart of an image detection method provided in Embodiment 1 of the present invention. The method of this embodiment can be executed by a mobile device such as a smart phone, a tablet computer, or a notebook computer equipped with a camera, and is applicable to detection and recognition of text regions in natural scene images.

[0029] An image detection method provided in this embodiment may include the following steps:

[0030] S110: Acquire an image to be detected.

[0031] Exemplarily, in the embodiment of the present invention, the image to be detected may be an original image, or may be an image obtained by preprocessing the original image. In one embodiment of the present invention, the original image is preferably preprocessed to obtain the image to be detected.

[0032] S120: Extract the maximum stable extremum MSER region from the image to be detected.

[0033] Exemplarily, the Maximally Stable Extrernal R...

Embodiment 2

[0039] Please refer to Figure 2A , Figure 2B and Figure 2C ,in, Figure 2A is a schematic flowchart of an image detection method provided in Embodiment 2 of the present invention, Figure 2B yes Figure 2A A schematic flow chart of an optional implementation of S250, Figure 2C is a schematic structural diagram of the convolutional neural network model used in Embodiment 2 of the present invention. The main difference between this embodiment and the first embodiment is that the contents of S210, S220, S260 and S270 are added on the basis of the first embodiment, and an optional implementation manner of S250 is further provided.

[0040] An image detection method provided in this embodiment may include the following steps:

[0041] S210: Receive an initial image.

[0042] Exemplarily, the initial image may be an image obtained by shooting a natural scene with a camera, usually an RGB image.

[0043] S220: Perform color space conversion on the initial image to obtain ...

Embodiment 3

[0070] Please refer to image 3 , which is a schematic structural diagram of an image detection device provided in Embodiment 3 of the present invention.

[0071] An image detection device 300 provided in this embodiment may include the following:

[0072] The image to be detected acquisition module 310 is configured to acquire an image to be detected.

[0073] The MSER region extraction module 320 is configured to extract the maximum stable extremum MSER region from the image to be detected, wherein the MSER region is a connected region.

[0074] The MSER region filtering module 330 is configured to filter the MSER region to obtain a text region in the image to be detected.

[0075] In summary, in this technical solution, the image to be detected is obtained, and the maximum stable extremum MSER region is extracted from the image to be detected, wherein the maximum stable extremum region is a connected region, and the MSER region is filtered to obtain the text region in the...

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Abstract

The embodiment of the invention discloses an image detection method and device. The image detection method comprises the steps that an image to be detected is obtained, and a maximally stable extremal region (MSER) is extracted from the image to be detected, wherein the MSER is a communication region, and a text region in the image to be detected is obtained by filtering the MSER. The MSER is extracted to serve as a candidate region by extracting the MSER from the image to be detected in a communication region dividing mode, then the extracted MSER is filtered and screened, and finally the text region in the image to be detected is obtained. Region division is conductive to decrease of calculation amount and improvement of the detection efficiency, meanwhile the interference of an image background can be decreased by extracting the MSER, and the accuracy rate during detection of images having complicated backgrounds can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image detection method and device. Background technique [0002] With the maturity and popularization of digital camera equipment, people have been able to record all aspects of the real world under different perspectives very conveniently and quickly. As a human language, visual text has a special and irreplaceable position in human activities. Text detection in natural scenes is one of the important research topics of computer vision and pattern recognition technology in the field of target detection and recognition. The purpose of this technology is to accurately detect text information in the captured natural scene images. It has broad application prospects in natural scene understanding and analysis, robot-assisted navigation, video retrieval, assisted reading for the blind, and text translation. [0003] Currently, natural scene text detection methods ...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/187
CPCG06T7/11G06T7/187G06V10/20G06F18/00
Inventor 李红匣
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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