Image detection and evaluation method for appearance defects of waste mobile phones

Abstract

The invention discloses an image detection and evaluation method for appearance defects of waste mobile phones. The method comprises the following steps: S1, obtaining appearance pictures of a to-be-detected mobile phone and a brand new mobile phone with the same model as the to-be-detected mobile phone under the same background color; S2, carrying out graying processing on the picture; S3, adjusting the picture; S4, carrying out differencing operation to obtain an appearance defect graph of the waste mobile phone to be detected; S5, carrying out binarization processing on the appearance defect image of the waste mobile phone to be detected to obtain an appearance defect binarization image of the waste mobile phone to be detected; and S6, through image detection, obtaining the total number of mobile phone pixels in the brand new mobile phone appearance picture of the same model and the total number of defective pixels in the appearance defect binary picture of the waste mobile phone to be detected, and judging the quality grade of the waste mobile phone to be detected according to the proportional relation of the two total number of pixels. The method can quantify defects, and is simple in processing, small in program calculation amount and high in precision.

Description

technical field [0001] The invention belongs to the field of waste mobile phone recycling, in particular to an image detection and evaluation method for appearance defects of waste mobile phones, which is applicable to the detection of appearance defects of all types of waste mobile phones on the market. Background technique [0002] With the development of science and technology and the improvement of people's living standards, mobile phones, as typical mobile terminals, are constantly being updated. By 2020, the number of second-hand mobile phones will be nearly 1 billion. Among these second-hand mobile phones, most of them have high reuse value and can be traded again in the market without scrapping. [0003] The current recycling method is to first inspect the appearance of the mobile phone, and if the appearance is in good condition, further analyze its function to determine whether it has the value of recycling the whole phone. Therefore, a good appearance is the prer...

AI Technical Summary

Problems solved by technology

[0013] For the third type, the computational load of the program is huge, and a large number of pictures need to be obtained for training in the early stage, which is time-consuming and laborious. Moreover, if the types of picture defects used for training are not rich enough, it will also lead to the problem of low recognition accuracy

[0014] In addition, the above three methods are only to mark defects such as scratches on the picture

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