An efficient segmentation method for solar photovoltaic panels under low contrast conditions

Abstract

The invention provides an effective method for segmenting a solar photovoltaic panel picture under the condition that the image contrast is too low, which mainly comprises the following parts: the target picture is equalized by a histogram to obtain an enhanced gray scale picture and a v-channel picture converted from RGB to HSV is obtained; the obtained histogram equalization picture and the v-channel picture are segmented by using a level set segmentation method respectively. In order to improve the level set operation efficiency, the invention adds an edge stop function, so that the evolution can be stopped quickly in the region with large gray value change, and the level set formula can be rapidly evolved in the region without boundary. The level set segmentation results of the two images are calculated by local entropy operation to obtain the local entropy of the image. The local entropy of the two images is superposed in different ratios and binarized according to the entropy value. After the binary image is processed to eliminate noise, the whole board is obtained and whether the board is qualified or not is judged. Finally, the binary image is used as a mask and the original image is copied to get the final segmentation result.

Description

technical field [0001] The invention relates to the fields of pattern recognition and image processing, especially the problem of infrared image segmentation under low contrast conditions. technical background [0002] Solar energy is a huge and permanent energy source. The energy radiated to the earth per second is equivalent to 5 million tons of standard coal. It can be said that solar energy is the largest energy source that can be developed in the world today. In addition, there is no geographical restriction on the sunlight irradiating the earth, and it can be directly developed and used for free without mining and transportation. With the continuous exploitation and consumption of fossil fuels (coal, oil and natural gas), the supply of energy is becoming more and more tense, so the development and utilization of solar energy is becoming more and more important. Solar photovoltaic panels are a new type of power generation equipment that directly converts solar radiatio...

AI Technical Summary

Problems solved by technology

[0003] Due to the large number of solar panels captured, manual fault point detection will not only consume a lot of manpower and material resources, but also be inefficient. At this time, it is necessary to use image processing technology to segment the solar photovoltaic panels to separate the photovoltaic panels from the background. Detect and locate the fault point of the photovoltaic panels obtained by segmentation

When taking infrared photos of solar photovoltaic panels, affected by the weather, geographical background, and shooting altitude, the photos taken may have problems such as complex backgrounds, uneven colors of photovoltaic panels, and low image contrast, which greatly affect the The effect of solar panel segmentation and detection

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