Solar panel defect real-time detection method based on infrared image
An infrared image and solar panel technology, applied in the field of image processing, can solve the problems of low accuracy, long time-consuming, poor sensitivity, etc., and achieve the effect of collecting images at a faster speed, reducing the probability of false detection, and high resolution
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[0052] The following examples are used to illustrate the real-time detection method for solar panel defects based on infrared images disclosed in the present invention. The specific implementation steps of this embodiment are as follows:
[0053] (1) Input infrared image;
[0054] like figure 2 (a) and image 3 As shown in (a), the input image is a three-channel infrared image of 480x640, and the input image can be divided into normal component pictures and heating component pictures.
[0055] (2) Gaussian filter to eliminate image noise;
[0056] Use the 5x5 Gaussian filter frame to denoise the input image, and the processing result is as follows figure 2 (b), as shown in 3(b).
[0057] (3) Carry out color space transformation to the infrared image after denoising;
[0058] Use equations (2)-(4) to convert the image from RGB space to HSV space.
[0059] (4) Identify the red area in the image according to the color and generate a binary image;
[0060] Traverse the e...
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