Detection methods for cameras

Abstract

The invention provides a detecting method for a camera. The method comprises the following steps that a square standard image is preset, wherein the standard image comprises an offset detecting graph, a deformation quantity detecting graph and a color detecting graph, the offset detecting graph is arranged in a center position of the standard image and is used for detecting the offset of the camera, the deformation quantity detecting graph is arranged in the standard image, at least comprises one line and one row of graphs, is used for detecting the deformation quantity of the camera and has the preset color for detecting the definition of the camera, the color detecting graph is arranged around the deformation quantity detecting graph in a surrounding way, is used for detecting the color sensing performance of the camera and has the standard color; the standard image is picked up by the camera, and an electronic image of the standard image is obtained; the offset, the deformation quantity, the definition and the color sensing performance of the camera are correspondingly detected through analyzing the offset detecting graph, the deformation quantity detecting graph, the color of the deformation quantity detecting graph and the color detecting graph in the electronic image. The detecting method has the advantage that various performance indexes such as the offset, the deformation quantity, the definition and the color sensing performance of the camera can be detected.

Description

technical field [0001] The invention relates to the technical field of equipment detection, in particular to the technical field of imaging device detection, and specifically to a detection method for cameras. Background technique [0002] Optical system measurement is the premise of system research and the beginning of system calibration; the development of information technology makes image information directly related to people's lives, and electronic camera technology has entered thousands of households; the image correction processing of the system under test, especially It is the distortion recovery of some large viewing angle lenses, and it is more valuable for the image recovery of some security monitoring systems. [0003] There are also foreign instruments on the market that can measure the lens quality of digital cameras or mobile phone cameras (only the optical system is tested); usually, consumers judge the imaging quality of digital cameras by eye observation, ...

AI Technical Summary

Problems solved by technology

Although the theoretical calculations are consistent, errors are often introduced during the production process. How to measure this error has always been an unsolved problem

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