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

Inactive Publication Date: 2018-04-10
FUZHOU UNIV
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Problems solved by technology

[0005] The focus of edge detection lies in the extraction of the boundary line between the target area and the background area. The brightness of these points changes significantly, but due to the influence of light and background, the set threshold is not a fixed value, and if the shape and color of the background object are different from solar energy If the battery boards are close, it will lead to identification errors

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  • Solar cell panel recognition method based on improved Canny operator and contour area threshold value
  • Solar cell panel recognition method based on improved Canny operator and contour area threshold value
  • Solar cell panel recognition method based on improved Canny operator and contour area threshold value

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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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Abstract

The invention relates to a solar cell panel recognition method based on an improved Canny operator and a contour area threshold value. Firstly, interpolation sampling is carried out on the collected images, and the size and the pixel of the images are reduced; interference edges and the noise points are filtered through gaussian filtering, and a target area is highlighted. Secondly, the color space is converted, and the color information such as saturation and the like is conveniently extracted; and the purpose of reinforcing the target area and weakening the background area is achieved by eliminating irrelevant points. Finally, an improved Canny operator is used for acquiring a dynamic threshold value and carrying out edge detection on the images, and a binary contour image is obtained. Threshold segmentation is conducted on a contour area, a background region is excluded, and a target region is reserved. The accuracy of solar cell panel recognition can be improved.

Description

Technical field [0001] The invention belongs to the field of photovoltaic technology, and in particular relates to a method for identifying solar panels based on an improved Canny operator and a contour area threshold. Background technique [0002] Solar cells use the photoelectric effect to convert solar energy into electrical energy. Many batteries are connected in series and parallel to form our common solar panels with large output power. The use in daily life is becoming more and more popular. However, its complicated production process will cause the color of the cells to be not exactly the same. These inconsistencies in appearance increase the difficulty of identification. The scale of the photovoltaic industry and the use of solar panels in a certain area are of great significance for evaluating the proportion of clean energy and traditional energy in a region, and the use of photovoltaic energy. In order to identify the solar panel, combine the color characteristics of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/11G06T7/136G06T7/194G06T7/90G06T3/40G06T5/00G06T5/20G06T5/30G06K9/46
CPCG06T3/4007G06T5/002G06T5/20G06T5/30G06T7/11G06T7/13G06T7/136G06T7/194G06T7/90G06T2207/10024G06T2207/20192G06V10/44
Inventor 郑茜颖周海芳戴龙云程树英林锦州
Owner FUZHOU UNIV
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