Shooting image optimization method and device based on local gradient distribution
A technology for capturing images and local gradients, which is applied in the field of pattern recognition to achieve the effect of improving recognition performance
Active Publication Date: 2020-12-18
INST OF AUTOMATION CHINESE ACAD OF SCI
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[0003] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of how to quickly and accurately select the clearest image among the images of multiple target documents acquired
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[0056] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.
[0057]The embodiment of the present invention provides a method for optimizing captured images based on local gradient distribution, which can quickly and accurately select the clearest image from the captured images of multiple target documents. This method is applicable to various types of The document image is beneficial to improve the performance of document image recognition.
[0058] The preferred method for capturing images based on gradient distribution provided by the present invention will be described below with reference to the accompanying drawings.
[0059] See attached figure 1 , figure 1 It exemplarily shows the main steps o...
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The invention belongs to the field of pattern recognition, and specifically relates to a method and device for optimizing captured images based on local gradient distribution, aiming to solve the problem of how to quickly and accurately select the clearest image among multiple acquired images of target documents . For this purpose, the preferred method provided by the present invention includes: acquiring a plurality of photographed images of the same size of the target document, and setting a plurality of first candidate frames of the same size; calculating the first edge information of the image in each first candidate frame Intensity, select the second candidate frame according to the descending order of the intensity of the first edge information; for each captured image of the target document, calculate the first evaluation value and the second evaluation value of each of the captured images; from the highest evaluation value of the first An image that satisfies the preset condition is selected from the image and the image with the highest second evaluation value, and is used as the preferred shooting image. The preferred method provided by the present invention is applicable to various types of document images, and is of great significance for improving the performance of document image recognition.
Description
technical field [0001] The invention belongs to the field of pattern recognition, and in particular relates to a method and device for optimizing captured images based on local gradient distribution. Background technique [0002] With the increasing upsurge of artificial intelligence, related technologies such as image processing, pattern recognition, computer vision, etc. have also been developed rapidly. The text in the image can express high-level semantic information, so the demand for automatic detection and recognition of the text in the image is increasing. The text recognition technology can realize the high-speed and automatic input of text information, saving a lot of human resources. Document images widely exist in various fields such as transportation, finance, logistics, taxation, and administrative management. Document recognition technology has great economic benefits and extensive social value. With the rapid popularization of smart terminals, mobile phone c...
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IPC IPC(8): G06K9/00G06K9/42G06T7/13G06T7/136
CPCG06T7/13G06T7/136G06V30/40G06V10/32
Inventor 史存召王淼王春恒
Owner INST OF AUTOMATION CHINESE ACAD OF SCI