Photovoltaic cell unfilled corner detection algorithm based on shape matching
A photovoltaic cell, detection algorithm technology, applied in optical testing flaws/defects, calculation, image data processing, etc., can solve problems such as being unable to adapt to market demands, reducing conversion efficiency and service life, and poor detection repeatability.
Inactive Publication Date: 2018-01-23
HEBEI UNIV OF TECH +1
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As an important power generation carrier, photovoltaic cells have the advantages of high light energy conversion efficiency, long service life, relatively mature production technology, and low cost. As a result, photovoltaic cells are prone to various defects, and the existence of defects will reduce their conversion efficiency and service life. Therefore, the detection of photovoltaic cell defects is an indispensable part of the production process.
[0003] At present, the industrial site mainly relies on manual visual inspection, but the detection efficiency is low, the workers work for a long time, and in the fatigue state, the detection quality is low, the detection repeatability is poor, and the cost is high. Therefore, the traditional manual detection can no longer meet the needs of the market.
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[0034] The technical solution in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0035] Refer to attached figure 1 As shown, the shape-matching-based detection algorithm for missing corners of photovoltaic cells designed by the present invention is mainly used in industrial sites to detect corner defects of photovoltaic cells. The detection algorithm is fully adapted to the field situation, and the specific steps of the algorithm are:
[0036] Step 1: Image Preprocessing
[0037] 1-1. Calibrate the camera to eliminate distortion;
[0038] Step 2: Template image processi...
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The invention provides a photovoltaic cell unfilled corner detection algorithm based on shape matching. Preprocessing of image correction, image conversion and threshold segmentation is performed on anormal lossless cell image and a cell image to be detected; the images are filled so that the influence of the grid part on contour extraction in the matching process can be eliminated, and a photovoltaic cell template image and a target image to be detected can be acquired; and affine transformation is performed, the cell template image is aligned with the photovoltaic cell image to be detected,and then difference of the photovoltaic cell template image and the image to be detected is performed so that photovoltaic cell unfilled corner detection can be realized.
Description
technical field [0001] The invention relates to the technical field of detection of defects on the surface of photovoltaic cells, in particular to a detection algorithm for missing corners of photovoltaic cells based on shape matching. Background technique [0002] In recent years, people have become more and more dependent on clean energy, and the output of photovoltaic cells has further expanded. As an important power generation carrier, photovoltaic cells have the advantages of high light energy conversion efficiency, long service life, relatively mature production technology, and low cost. As a result, photovoltaic cells are prone to various defects, and the existence of defects will reduce their conversion efficiency and service life. Therefore, the detection of photovoltaic cell defects is an indispensable part of the production process. [0003] At present, the industrial site mainly relies on manual visual inspection, but the detection efficiency is low, workers wor...
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IPC IPC(8): G06T7/00G06T7/11G06T7/136G01N21/88
Inventor 陈海永赵慧芳李帅庞悦王丙宽王玉胡洁
Owner HEBEI UNIV OF TECH