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

Pending Publication Date: 2020-03-27
广州丰石科技有限公司
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  • Application Information

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Problems solved by technology

[0012] The present invention provides a solar panel image processing method based on an adaptive algorithm in order to overcome the defects

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  • Solar panel image processing method based on adaptive algorithm
  • Solar panel image processing method based on adaptive algorithm
  • Solar panel image processing method based on adaptive algorithm

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Embodiment 1

[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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Abstract

The invention discloses a solar panel image processing method based on an adaptive algorithm, and the method comprises the steps: S1, obtaining a solar panel image, and converting the format of the solar panel image into RGB three channels; s2, carrying out image enhancement and grey-scale map conversion; s3, carrying out threshold binarization denoising on the solar panel image subjected to grey-scale map conversion; s4, performing morphological operation on the image; s5, setting contour detection constraint conditions, and performing contour detection to obtain the overall contour of the solar panel; s6, repeating the steps S2-S5 until the obtained contour number of the to-be-segmented region is greater than a preset value, and executing the step S7; s7, carrying out perspective transformation on the overall contour area of the solar panel to a predefined projection plane; and S8, carrying out image segmentation on the overall contour area of the solar panel according to the contourof each to-be-segmented area, and carrying out image zooming to obtain an image segmentation result. According to the method, efficient denoising during image segmentation is realized, and the methodhas relatively high expansibility and threshold adaptive effect stability.

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, relates to a solar panel image processing method based on an adaptive algorithm. Background technique [0002] Image segmentation is an important branch of image processing. The current image segmentation technology mainly includes: edge-based image segmentation technology, threshold-based image segmentation technology, fuzzy clustering-based segmentation technology, deformation model-based segmentation technology, current image segmentation technology Unable to resolve the following issues: [0003] noise diversification [0004] For a solar panel image, its noise removal is the most complex and difficult technical problem in image processing. The low resolution of the picture, the brightness is dark, the camera angle is not correct, and the interference objects are complex and various, which make the picture doped with a lot of invalid information and diverse noi...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/62G06T5/00G06T5/30
CPCG06T7/0004G06T7/11G06T7/13G06T7/136G06T7/62G06T5/002G06T5/006G06T5/30G06T2207/10004G06T2207/20004G06T2207/30148Y02E10/50
Inventor 陈曦蓝志坚张嘉瑛李海燕
Owner 广州丰石科技有限公司
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