Study on Color Classification Method of Solar Cells Based on Fuzzy Clustering Algorithm

• Main Authors: T.F. Zang, X.S. Suo, M. Zhang, S.S. Li
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2015-12-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/4201

Currently the color classification of the blue solar cell relies on the human eyes, which efficiency is low. This paper proposes the study on color classification method of solar cells based on fuzzy clustering algorithm and designs a set of device which can collect and classify solar cell image data information. At first, the main color of solar cell image data information should be classified and extracted from RGB color space. Then convert it to gray image and improve the gray image contrast by image enhancement. At last, the average gray level of the solar cell blue component gray-scale images should be found. Besides, we should classify solar cell according to the fuzzy pattern recognition of fuzzy clustering and maximum membership.