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Electroluminescent Image Processing and Cell Degradation Type Classification via Computer Vision and Statistical Learning Methodologies

2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 2017
A data set of 90 60-cell module images from 5 commercial PV module brands over 6 exposure steps of damp-heat testing were analyzed. An automated data analysis pipeline was developed using the open source coding language Python to parse the module images into individual cell images. As the original raw images are not directly suitable for modeling, this
Justin S. Fada   +5 more
openaire   +1 more source

Parallel Processing Methodologies for Image Processing and Computer Vision

1993
Publisher Summary This chapter highlights parallel processing methodologies for image processing and computer vision. Providing machines with comparable visual capabilities is the goal of modern computer vision. However, a major obstacle in the development and widespread use of computer vision has been the enormous data throughput and processing ...
S. Yalamanchili, J.K. Aggarwal
openaire   +1 more source

Soft Computing Methodologies in Modern Image Processing Tasks

Soft Computing methods have the ability to handle noisy, uncertain, and varying image processing tasks in a flexible and approximate manner, outperforming traditional approaches with the aid of Fuzzy Logic, Artificial Neural Networks, and Evolutionary Computing, and Hybridized approaches, which have been found to have better performance measures such ...
Shruti, Rana, Udayasuriyan, Arun
openaire   +1 more source

Survey of Image Processing Techniques in Medical Image Assessment Methodologies

Advances in Intelligent Systems and Computing, 2021
Anandakumar Haldorai, Arulmurugan Ramu
exaly  

Image processing using quantum computing and reverse emergence

International Journal of Nano and Biomaterials, 2009
Souham Meshoul
exaly  

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