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Article

Performance Evaluation of Different Decision Fusion Approaches for Image Classification

by
Ahmed Alwakeel
1,*,
Mohammed Alwakeel
1,
Mohammad Hijji
1,
Tausifa Jan Saleem
2 and
Syed Rameem Zahra
3
1
Faculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi Arabia
2
Department of Electrical Engineering, Indian Institute of Technology Delhi, Delhi 110016, India
3
Department of Computer Science and Engineering, Netaji Subhas University of Technology, Delhi 110078, India
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(2), 1168; https://doi.org/10.3390/app13021168
Submission received: 22 November 2022 / Revised: 12 January 2023 / Accepted: 13 January 2023 / Published: 15 January 2023
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Abstract

Image classification is one of the major data mining tasks in smart city applications. However, deploying classification models that have good generalization accuracy is highly crucial for reliable decision-making in such applications. One of the ways to achieve good generalization accuracy is through the use of multiple classifiers and the fusion of their decisions. This approach is known as “decision fusion”. The requirement for achieving good results with decision fusion is that there should be dissimilarity between the outputs of the classifiers. This paper proposes and evaluates two ways of attaining the aforementioned dissimilarity. One is using dissimilar classifiers with different architectures, and the other is using similar classifiers with similar architectures but trained with different batch sizes. The paper also compares a number of decision fusion strategies.
Keywords: classification; decision fusion; convolutional neural network; VGG16; VGG19; Resnet56 classification; decision fusion; convolutional neural network; VGG16; VGG19; Resnet56

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MDPI and ACS Style

Alwakeel, A.; Alwakeel, M.; Hijji, M.; Saleem, T.J.; Zahra, S.R. Performance Evaluation of Different Decision Fusion Approaches for Image Classification. Appl. Sci. 2023, 13, 1168. https://doi.org/10.3390/app13021168

AMA Style

Alwakeel A, Alwakeel M, Hijji M, Saleem TJ, Zahra SR. Performance Evaluation of Different Decision Fusion Approaches for Image Classification. Applied Sciences. 2023; 13(2):1168. https://doi.org/10.3390/app13021168

Chicago/Turabian Style

Alwakeel, Ahmed, Mohammed Alwakeel, Mohammad Hijji, Tausifa Jan Saleem, and Syed Rameem Zahra. 2023. "Performance Evaluation of Different Decision Fusion Approaches for Image Classification" Applied Sciences 13, no. 2: 1168. https://doi.org/10.3390/app13021168

APA Style

Alwakeel, A., Alwakeel, M., Hijji, M., Saleem, T. J., & Zahra, S. R. (2023). Performance Evaluation of Different Decision Fusion Approaches for Image Classification. Applied Sciences, 13(2), 1168. https://doi.org/10.3390/app13021168

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