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Matlab Framework for Image Processing and Feature Extraction Flexible Algorithm Design

Faculty of Engineering, Department of Industrial Engineering and Management, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade” of Targu Mures, 540142 Targu Mures, Romania
Presented at the 14th International Conference INTER-ENG 2020 Interdisciplinarity in Engineering, Mureș, Romania, 8–9 October 2020.
Published: 24 January 2021
Image processing and the analysis of images in order to extract relevant data is an ever-growing topic of research. Although there are numerous methods readily available, the task of image preprocessing and feature extraction requires developing specific algorithms for specific problems by combining different functions and tweaking their parameters. This paper proposes a framework that allows the flexible construction of image processing algorithms. Its user interface and architecture are designed to ease and speed up the process of algorithm creation and testing as well as serve as an application for the use of these algorithms by end users. The framework was built in Matlab and makes use of its integrated Image Processing toolbox. View Full-Text
Keywords: image processing; feature extraction; Matlab; framework; algorithm design image processing; feature extraction; Matlab; framework; algorithm design
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MDPI and ACS Style

Cazacu, R. Matlab Framework for Image Processing and Feature Extraction Flexible Algorithm Design. Proceedings 2020, 63, 72. https://0-doi-org.brum.beds.ac.uk/10.3390/proceedings2020063072

AMA Style

Cazacu R. Matlab Framework for Image Processing and Feature Extraction Flexible Algorithm Design. Proceedings. 2020; 63(1):72. https://0-doi-org.brum.beds.ac.uk/10.3390/proceedings2020063072

Chicago/Turabian Style

Cazacu, Razvan. 2020. "Matlab Framework for Image Processing and Feature Extraction Flexible Algorithm Design" Proceedings 63, no. 1: 72. https://0-doi-org.brum.beds.ac.uk/10.3390/proceedings2020063072

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