Solar cell panel recognition method based on improved Canny operator and contour area threshold value
A technology of solar panels and recognition methods, applied in character and pattern recognition, computing, computer components, etc., can solve the problems of non-fixed threshold values and recognition errors, and achieve the effect of improving recognition accuracy
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[0030] The technical solution of the present invention will be described in detail below in conjunction with the drawings.
[0031] A method for identifying solar panels based on improved Canny operator and contour area threshold of the present invention includes the following steps:
[0032] Step S1: Collect the image of the solar panel through the image acquisition device, store it in the computer, and adjust the size and pixels of the image by using an interpolation sampling method;
[0033] Step S2, through the interpolation sampling in step S1, filter the image by means of Gaussian filtering;
[0034] Step S3, through the filtering operation in step S2, convert the color space of the image to obtain color information including brightness and saturation in subsequent operations;
[0035] Step S4: After the color space is converted in step S3, irrelevant points need to be excluded; the morphology opening operation is performed on the graph after the irrelevant points are excluded, an...
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