Method for checking digital camera articulation

Abstract

A detection method of the definition of a digital camera includes the following steps: under the irradiation of even ray, the position of the digital camera is adjusted so as to ensure that a definition test graph just fills up the display screen of the digital camera, and then a picture is taken; the taken picture is input into a computer, the brightness value of each pixel point of the picture is obtained, the brightness difference values of all adjacent pixel points are calculated, the average value of all brightness difference values is calculated and taken as the definition index of the digital camera, and the larger the average value of the brightness difference values is, the higher the definition of the digital camera can be. The detection progress of the detection method does not need the artificial judgment, the detection is objective and accurate, and the detection efficiency is high. The method can greatly facilitate manufacturers of digital imaging equipment to carry out quantitative quality control on products and bring the convenience to common customers for the judgment of product quality at the same time.

Description

technical field [0001] The invention relates to an evaluation and automatic detection method of digital camera image clarity. Background technique [0002] The quality evaluation of digital images is usually measured from several aspects such as sharpness, white balance, color reproduction, gray scale, and the number of dead pixels, and the detection and quantification of sharpness is one of the difficulties. [0003] At present, the most common and most authoritative digital image resolution detection method is mainly by taking resolution test charts and then manually judging. Such a subjective evaluation method not only takes a long time and consumes a lot of resources, but also lacks a unified standard and is difficult to quantify. For example, the presence of humans affects the cleanliness of the testing site, high-intensity, long-term work will greatly reduce the accuracy of manual testing, and there are different subjective testing standards among different personnel....

AI Technical Summary

Problems solved by technology

Such a subjective evaluation method not only takes a long time and consumes a lot of resources, but also lacks a unified standard, making it difficult to quantify

For example, the existence of human beings affects the cleanliness of the testing site, high-intensity and long-term work will greatly reduce the accuracy of manual testing, and there are different subjective testing standards among different personnel

In addition, if in some toxic or radiation environment, it is impossible to use artificial

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