Image quality evaluation method and device based on complex network and storage medium

An image quality evaluation, complex network technology, applied in the field of image processing in the software industry, can solve problems such as unsatisfactory quality evaluation effect

Pending Publication Date: 2020-10-30
东软教育科技集团有限公司
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Problems solved by technology

[0004] The invention provides an image quality evaluation method, device and storage medium based on a complex network, which solves the problem of unsatisfactory quality evaluation effect in the prior art

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  • Image quality evaluation method and device based on complex network and storage medium
  • Image quality evaluation method and device based on complex network and storage medium
  • Image quality evaluation method and device based on complex network and storage medium

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Embodiment Construction

[0050] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0051] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention provides an image quality evaluation method and device based on a complex network and a storage medium. The method comprises the following steps: quickly converting an image to be subjected to quality evaluation into a complex network; while a mainstream deep learning algorithm is used for carrying out feature extraction on the image, combining the features of a complex network; finally, processing the spliced information through a full connection network, and fully integrating the features extracted in the two different modes together to obtain a final quality evaluation result.Through two different processing modes for the image, the image information is mined more comprehensively, the accuracy of image quality evaluation is improved, and the effect of image quality evaluation is enhanced.

Description

technical field [0001] The invention belongs to the field of image processing in the software industry, and in particular relates to a method, device and storage medium for rapidly converting an image into a complex network for image quality evaluation. Background technique [0002] With the continuous development of modern digital technology, the importance of medical imaging in basic medicine and clinical medicine has become increasingly prominent. High-quality and high-level images are an important basis for ensuring the professionalism and accuracy of medical diagnosis. Therefore, medical image quality evaluation can maximize the early detection of low-quality or wrong images and control them at the front end, providing reliable image information for clinical diagnosis. . [0003] At present, the mainstream method of medical image quality evaluation is based on deep learning, and the deep learning model is used to automatically mine potential information to obtain the q...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/40G06N3/08G06T7/11
CPCG06N3/08G06T3/4038G06T7/0012G06T2200/32G06T2207/20081G06T2207/20084G06T2207/30168G06T7/11
Inventor 王建超李雪于丹
Owner 东软教育科技集团有限公司
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