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Vidicon definition detection method based on definition test card

A detection method and resolution technology, applied in image communication, television, electrical components, etc., can solve the problems of poor reliability, time-consuming and labor-intensive detection method of resolution, etc.

Inactive Publication Date: 2012-04-04
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of time-consuming, laborious and poor reliability of the existing camera definition detection method, the present invention provides a convenient, fast and reliable camera definition detection method based on the definition test card

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  • Vidicon definition detection method based on definition test card
  • Vidicon definition detection method based on definition test card
  • Vidicon definition detection method based on definition test card

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Embodiment Construction

[0041] The present invention will be further described below.

[0042] A camera definition detection method based on a video definition test card, said camera definition detection method comprising the following steps:

[0043] 1) Select cameras with different sharpness levels, take images of the sharpness test card, measure the sharpness function value of the sharpness test card image, and save the corresponding relationship between the sharpness function value and the sharpness level in the database. The calculation process of the degree function value is as follows:

[0044] 1.1) Detect the gradient of the image:

[0045] Detect the gradient in the horizontal and vertical directions: First, let’s introduce the concept of the neighborhood. With the pixel point a(i, j) as the center, the set of four points above, below, left and right of the pixel point is called the pixel point a. Four-neighborhood, the set of four-neighborhood points of pixel a plus four points on the dia...

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Abstract

The invention discloses a vidicon definition detection method based on a definition test card, comprising the following steps of: 1) selecting a video definition test card, selecting vidicons with different definition grades, shooting an image of the definition test card, and measuring a definition function value of the definition test card, wherein the specific processes are as follows: 1.1) detecting a horizontal gradient, a vertical gradient and a total gradient of the image; 1.2) carrying out threshold value process; 1.3) calculating definition evaluation function values; 1.4) carrying out normalization process, and storing the obtained definition function value of the image shot by the vidicons with different definition grades and the definition grades of the vidicons into a database; 2) shooting a picture of the definition test card by a vidicon to be detected, calculating the definition function value of the picture, comparing the obtained definition function value with the definition function value of the image stored in the database, and selecting the most approximate numerical value as the definition grade of the vidicon to be detected. The method disclosed by the invention has the advantages of convenience, rapidness and good reliability.

Description

technical field [0001] The invention relates to a camera definition detection method. Background technique [0002] There are two main evaluation methods for image clarity: subjective evaluation and detection method and objective evaluation detection method. The subjective evaluation method is to organize a group of enough experimenters to evaluate the image clarity through observation. The observer gives a certain quality grade to the evaluated image, and according to different sharpness grades, it is divided into a scoring system of 5 grades, 6 grades, 7 grades, etc., and finally takes the average to obtain the sharpness grade of the image. In my country, the sharpness of the camera is evaluated by the sharpness test card taken by the camera. The sharpness test card is made by the Ministry of Public Security Security Alarm System Product Quality Supervision and Inspection Center. The sharpness is divided into eight levels, and different lines are used. To indicate that thi...

Claims

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Application Information

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IPC IPC(8): H04N17/00
Inventor 冯远静牛延棚乐浩成王彬
Owner ZHEJIANG UNIV OF TECH
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