Image quality detection method, device and computer-readable storage medium
A technology of image quality and detection method, applied in the field of images, can solve the problems of increasing the complexity of the detection process, misjudgment, etc.
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no. 1 example
[0039] Please refer to image 3 , image 3 It is a flowchart of an image quality detection method provided by a preferred embodiment of the present invention. The image quality detection method is applied to figure 1 The linkage monitoring system 100 is shown. The above image quality detection method includes the following steps:
[0040] In step S101, the linked acquisition device 300 obtains a relative preset point according to the corresponding relative coordinate system and the preset point.
[0041] In the embodiment of the present invention, after the linkage monitoring system 100 is powered on, it enters step S101 to perform image quality detection on the panoramic images collected by the linkage monitoring system 100 . As an implementation, after the linkage monitoring system 100 is powered on, step S101 can be repeatedly entered in each preset time interval, and the image quality inspection of the panoramic images collected by the linkage monitoring system 100 can...
no. 2 example
[0066] Please refer to Figure 4 , Figure 4 It is a flowchart of an image quality detection method provided by a preferred embodiment of the present invention. The image quality detection method is applied to figure 1 The panorama acquisition device 200 in. Optionally, the image quality detection method includes the following steps:
[0067] Step S201, acquiring the first image data collected by the linkage acquisition device 300 at each relative preset point; wherein, the relative preset point is determined by the linkage acquisition device 300 according to the corresponding relative coordinate system and the preset point generation.
[0068] Step S202, acquiring second image data of the field of view area corresponding to the relative preset point from the collected panoramic image data, wherein the first image data and the second image data corresponding to the same relative preset point There is a correspondence between the image data.
[0069] Step S203, comparing ...
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