Solar panel image processing method based on adaptive algorithm
A solar panel and adaptive algorithm technology, applied in the field of image processing, can solve the problems of poor image segmentation and denoising effect, poor scalability, unstable threshold adaptive effect, etc., to achieve efficient denoising and enhance scalability , the effect of improving stability
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[0047] Such as figure 1 A flow chart of a solar panel image processing method based on an adaptive algorithm is shown.
[0048] A solar panel image processing method based on an adaptive algorithm, comprising the following steps:
[0049] S1: Obtain the solar panel image and convert its format into RGB three-channel;
[0050] S2: Perform image enhancement and grayscale conversion on the converted solar panel image;
[0051] In this solution, the image parameters adjusted in the image enhancement process include: image brightness, image chroma, image contrast, and image sharpness. It should be noted that the above image parameters are optional adjustment parameters. In one embodiment, image enhancement You can quantify the enhancement by setting the enhancement factor. The enhancement factors of brightness, chroma, and sharpness are all set to the default value of 1.0 to maintain the original image effect. The contrast is set to 2.0 to enhance the difference between black pix...
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