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A power transmission and transformation inspection image quality evaluation method and system based on significance detection

An image quality evaluation and quality evaluation technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of ignoring the local texture structure of the image, and the image quality evaluation of power transmission and transformation inspection cannot rely entirely on saliency detection, etc. To achieve the effect of ensuring comprehensiveness, reducing the process of processing, and reducing difficulty

Active Publication Date: 2019-04-02
STATE GRID INTELLIGENCE TECH CO LTD
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Problems solved by technology

The saliency detection method can well reflect the attention area of ​​human vision, but most of the existing saliency detection algorithms are global detection algorithms, ignoring the information of the contrast of the local texture structure of the image
In addition, the quality evaluation of power transmission and transformation inspection images cannot completely rely on the foreground area of ​​saliency detection. The relevant information in the background is also the focus area of ​​inspectors. The target area observed by inspectors

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  • A power transmission and transformation inspection image quality evaluation method and system based on significance detection
  • A power transmission and transformation inspection image quality evaluation method and system based on significance detection
  • A power transmission and transformation inspection image quality evaluation method and system based on significance detection

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[0046] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0048] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention discloses an inspection image quality evaluation method and system based on saliency detection, and the method comprises the steps: carrying out the preprocessing of an original inspection image through a saliency detection algorithm based on the combination of a global part and a local part for a to-be-evaluated inspection image, and obtaining a saliency map of the inspection image;and based on the saliency map, using an edge description-based algorithm to calculate and obtain two indexes for describing the image ambiguity, and obtaining a quality score of the whole image according to the ambiguity indexes. In addition, the convolutional neural network algorithm based on deep learning adopts a partitioning evaluation strategy to calculate and obtain another quality scoringresult of the image; and finally, comprehensively processing evaluation results of the two algorithms by adopting a weighted fusion strategy to obtain a final score of the image quality.

Description

technical field [0001] The invention relates to a method and system for evaluating image quality of power transmission and transformation patrol inspection based on significance detection. Background technique [0002] With the improvement of computer technology and the breakthrough development of deep learning technology in recent years, artificial intelligence technology has become popular all over the world and is valued by more and more countries in the world. The "State Grid Corporation's 2030 Medium- and Long-term Science and Technology Development Plan" organized by the Ministry of Science and Technology of the State Grid Corporation also listed "artificial intelligence technology for integration and penetration in the industry" as one of the key tasks in the basic and common technology fields, clearly stating that " Research and develop a human-computer interaction intelligent system with reasoning, perception, self-training and learning capabilities, promote and app...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04
CPCG06T7/0004G06T2207/20081G06T2207/10004G06T2207/30168G06T2207/20221G06N3/045
Inventor 张旭王万国王振利许玮慕世友傅孟潮李建祥白万建李冬李勇杨波孙晓斌李振宇
Owner STATE GRID INTELLIGENCE TECH CO LTD
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