Mobile phone camera detection method and device based on image sensor pixel array

Abstract

The invention discloses a mobile phone camera detection method based on an image sensor pixel array, and the method comprises the steps: obtaining a target camera region in an image before and after the active irradiation of an external infrared light source or the characteristic of gray level step, achieving the target detection, obtaining an input image, and carrying out the preprocessing of the input image, so as to improve the signal-to-noise ratio of the image. A target segmentation algorithm of histogram and image entropy is used to obtain a suspicious target seed point, a complete highlight area is acquired, target discrimination is performed through a feature descriptor of a target camera, discrimination of suspicious targets is screened, a target repeated detection condition is determined through a detection clustering algorithm, and a detection result is displayed in the form of an RGB color image. The change of the shape of the target mask can reduce the accuracy of later feature analysis and calculation and influence the final target judgment effect. And the judgment results are clustered by utilizing the fact that the reinspection targets are inevitably similar in physical distance, so that the situation of target repeated detection is eliminated, and the precision and efficiency of camera detection are also improved to a certain extent.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a mobile phone camera detection method and device based on an image sensor pixel array. Background technique [0002] With the increasing demand for smart electronic product terminals and automotive electronics, the domestic market demand for camera modules has gradually increased. The mainstream configuration of the front camera has reached the level of 8 million pixels or even 10 million pixels. The rear cameras of major mobile phone manufacturers are equipped with autofocus function, and some manufacturers are already trying to apply the optical zoom function to smartphones. , The autofocus function of the micro camera module will greatly improve the focusing efficiency and reduce the space occupied. In order to improve the user's experience when taking pictures and solve the problem of blurred photos, the focus motor is gradually transformed from a driven...

AI Technical Summary

Problems solved by technology

Since camera recognition technology is mainly used to distinguish real and fake targets, the variety of false alarms leads to poor robustness of traditional target recognition methods. The camera recognition algorithm of deep learning needs to select an appropriate model and a reasonable training method, and at the same time requires a large number of sample sets As input, there is no camera public data set and the trained model is available, which reduces the efficiency and accuracy of camera detection

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