Calibration method, device, readable storage medium and system for image acquisition equipment
The technology of an image acquisition device and a calibration method, which is applied in the field of image processing, can solve the problems of low calibration efficiency and take a long time, and achieve the effect of shortening the calibration time and improving the calibration efficiency.
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Embodiment 1
[0051] An embodiment of the present invention provides a calibration method for an image acquisition device.
[0052] The image acquisition device may be an optical sensor such as an optical prism or other devices capable of acquiring images. The execution subject of the embodiment of the present invention may be the upper computer of the image acquisition device. In the production process of image acquisition equipment, due to factors such as environmental errors or assembly errors, the optical path diagram of the produced image acquisition equipment usually has a certain degree of distortion. Before using the image acquisition device, carry out distortion calibration on the image acquisition device through the method provided by the embodiment of the present invention, and burn the calibrated classification data into the image acquisition device, so that the image can be subsequently imaged according to the classification data The image collected by the acquisition device i...
Embodiment 2
[0092] Such as Figure 5 As shown, a calibration device of an image acquisition device is used to implement the calibration method of the image acquisition device provided in the above-mentioned embodiment 1, and the device specifically includes:
[0093] An acquisition module 20, configured to acquire a distorted image of an image acquisition device;
[0094] Determining module 21, is used for determining the classification data of distorted image by pre-trained distortion classifier;
[0095] The burning module 22 is configured to burn the classification data into the image acquisition device, and automatically correct the distorted image according to the classification data.
[0096] The above-mentioned determining module 21 may include:
[0097] The identification unit is used to identify the image features of the distorted image through a pre-trained distortion classifier, and the image features include image size, tilt left inner angle and pincushion distortion radian;...
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