Work place: College of Computing and Information Technologies, National University, Philippines
E-mail: 120082120@aufe.edu.cn
Website:
Research Interests: Image Processing, Data Analysis, Video Processing
Biography
Mingjie LI is a PhD scholar in College of Computing and Information Technologies National University, Philippines. Before coming into PhD, he had worked as Experimentalist fellow in Management Science and Engineering, Anhui University of Finance and Economics, China. He has total of 15 years of experience in teaching and Research. His main interest includes Machine learning, data analysis and Image/Video Processing.
By Mingjie LI Vladimir Y. Mariano
DOI: https://doi.org/10.5815/ijigsp.2024.04.01, Pub. Date: 8 Aug. 2024
The mechanization rate of cotton picking continues to increase with the continuous improvement and development of China's agricultural modernization level. However, when picking cotton, the machine cannot distinguish between cotton fibers and impurities well, resulting in a certain gap in impurity content compared to manually picked cotton. This paper combines machine vision and image processing technology to adopt an improved Canny-based impurity image processing algorithm. By performing light processing, selecting a color space, filtering images, and removing noise from machine-harvested cotton images, the suppression of virtual edges on impurity images allows for more accurate identification of impurities on the cotton surface. Finally, experimental details and results conclusively demonstrate the effectiveness of this method, providing a basis for detecting and classifying cotton impurities.
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