Image stability detection method and device

Abstract

The invention aims to provide an image stability detection method and device. The method comprises the following steps: collecting a part image of a mobile phone through an X-ray device; performing part detection on the part image to obtain a gray scale detection area corresponding to at least one part; periodically detecting a part gray average value of the gray detection area corresponding to each part; judging whether the part gray average value is larger than a preset part gray average value threshold value or not, and if yes, forming first alarm information used for indicating that the collected part image gray of the mobile phone is unstable; and if not, returning to the step of acquiring the part images of the mobile phone through the X-ray equipment so as to realize stability detection of the part images of all the parts of the mobile phone and avoid errors caused by subsequent detection of all the parts of the mobile phone through unstable part images.

Description

technical field [0001] The present application relates to the field of computers, in particular to a method and device for detecting image stability. Background technique [0002] In daily life, mobile phones have become an indispensable carry-on item for people. Whether it is work, going out, studying or traveling, mobile phones have become a necessity for people in various occasions. With the maturity of mobile phone development, people are more and more dependent on mobile phones. come higher. With the use of mobile phones, the hardware of mobile phones may experience abnormal parts such as aging or bumps. When there is a problem with the mobile phone, the abnormal detection of the parts of the mobile phone cannot be performed well, so that the user cannot further determine where the mobile phone is. However, in the process of detecting the collected mobile phone images, due to factors such as unstable image quality of the collected images containing all the parts in the...

AI Technical Summary

Problems solved by technology

With the use of mobile phones, the hardware of mobile phones may experience abnormal parts such as aging or bumps. When there is a problem with the mobile phone, the abnormal detection of the parts of the mobile phone cannot be performed well, so that the user cannot further determine where the mobile phone is. However, in the process of detecting the collected mobile phone images, due to factors such as unstable image quality of the collected images containing all the parts in the mobile phone, there are large errors in the subsequent analysis of the parts in the images, so The stability detection of the collected mobile phone part images has become the main research topic at present.

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