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TFDS (Train Coach Machine Vision Detection System) image quality evaluation method and system

A technology of image quality evaluation and evaluation method, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of lack of unified standards, TFDS image quality evaluation depends on subjective feelings, etc., and achieve the effect of solving the inconsistency of evaluation results

Inactive Publication Date: 2012-07-25
BEIHANG UNIV
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Problems solved by technology

[0006] In view of this, the main purpose of the present invention is to provide a TFDS image quality evaluation method and system to solve the problem that the quality evaluation of TFDS images is completely dependent on the subjective feelings of dynamic vehicle inspectors and lacks a unified standard

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  • TFDS (Train Coach Machine Vision Detection System) image quality evaluation method and system
  • TFDS (Train Coach Machine Vision Detection System) image quality evaluation method and system
  • TFDS (Train Coach Machine Vision Detection System) image quality evaluation method and system

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Embodiment Construction

[0065] The TFDS image quality evaluation method of the present invention may mainly include the following steps:

[0066] Step 101: Calculate the definition S of the image to be evaluated;

[0067] Step 102: Calculate the area saturation Sa of the image to be evaluated;

[0068] Step 103: Calculate the distribution sp of the image to be evaluated;

[0069] Step 104: Calculate the standard deviation st of the dark area of ​​the image to be evaluated;

[0070] Step 105: According to the calculated definition S, the area saturation Sa, the distribution degree sp, and the dark area standard deviation st, a comprehensive evaluation f of the image quality of the image to be evaluated is calculated.

[0071] Specifically, the calculated definition S, area saturation Sa, distribution sp, and dark area standard deviation st are taken into formula (1) for calculation to obtain the comprehensive image quality evaluation f of the image to be evaluated:

[0072] f = S X e - ( S...

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Abstract

The invention discloses a TFDS (Train Coach Machine Vision Detection System) image quality evaluation method. The method comprises the following steps: calculating the definition S of a required-to-be-evaluated image; calculating the regional saturation Sa of the required-to-be-evaluated image; calculating the dispersity sp of the required-to-be-evaluated image; calculating the dark region standard deviation st of the required-to-be-evaluated image; and according to the calculated definition S, regional saturation Sa, dispersity sp and dark region standard deviation st of the required-to-be-evaluated image, calculating the comprehensive image-quality evaluation f of the required-to-be-evaluated image. Accordingly, the invention also discloses a TFDS image quality evaluation system, which can automatically complete the quality evaluation on TFDS images, can carry out continuous uninterrupted evaluation on any number of images, and also can carry out comprehensive evaluation on a single image, then automatically give image quality evaluation results at real time, thereby solving the problem that evaluation results are non-uniform because of the differences of human factors.

Description

Technical field [0001] The invention relates to image analysis and processing technology, in particular to an image quality evaluation method and system of a fault track edge image detection system (TFDS). Background technique [0002] The factors affecting image quality are related to many factors such as human visual perception and psychology. At present, the research on image quality evaluation in the world has been relatively extensive, mainly focusing on the quality evaluation after image transmission and compression and decompression. With the advancement of railway information construction, image analysis and processing technology has been widely used in the railway industry. Evaluation research has also attracted more and more attention in the railway transportation industry. The evaluation methods adopted in image quality evaluation research are generally divided into subjective quality evaluation and objective quality evaluation. [0003] Among them, the subjective eval...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 张广军曹志鹏魏振忠孙军华赵长波
Owner BEIHANG UNIV
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