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Volume 24
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10.3390/s24030821
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Article

The Impact of Noise and Brightness on Object Detection Methods

by
José A. Rodríguez-Rodríguez
1,
Ezequiel López-Rubio
1,2,
Juan A. Ángel-Ruiz
1 and
Miguel A. Molina-Cabello
1,2,*
1
Department of Computer Languages and Computer Science, University of Málaga, 29071 Málaga, Spain
2
Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29009 Málaga, Spain
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(3), 821; https://doi.org/10.3390/s24030821
Submission received: 12 December 2023 / Revised: 12 January 2024 / Accepted: 24 January 2024 / Published: 26 January 2024
(This article belongs to the Special Issue Object Detection Based on Vision Sensors and Neural Network)
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Abstract

The application of deep learning to image and video processing has become increasingly popular nowadays. Employing well-known pre-trained neural networks for detecting and classifying objects in images is beneficial in a wide range of application fields. However, diverse impediments may degrade the performance achieved by those neural networks. Particularly, Gaussian noise and brightness, among others, may be presented on images as sensor noise due to the limitations of image acquisition devices. In this work, we study the effect of the most representative noise types and brightness alterations on images in the performance of several state-of-the-art object detectors, such as YOLO or Faster-RCNN. Different experiments have been carried out and the results demonstrate how these adversities deteriorate their performance. Moreover, it is found that the size of objects to be detected is a factor that, together with noise and brightness factors, has a considerable impact on their performance.
Keywords: deep learning; object detection; noise; brightness deep learning; object detection; noise; brightness

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MDPI and ACS Style

Rodríguez-Rodríguez, J.A.; López-Rubio, E.; Ángel-Ruiz, J.A.; Molina-Cabello, M.A. The Impact of Noise and Brightness on Object Detection Methods. Sensors 2024, 24, 821. https://doi.org/10.3390/s24030821

AMA Style

Rodríguez-Rodríguez JA, López-Rubio E, Ángel-Ruiz JA, Molina-Cabello MA. The Impact of Noise and Brightness on Object Detection Methods. Sensors. 2024; 24(3):821. https://doi.org/10.3390/s24030821

Chicago/Turabian Style

Rodríguez-Rodríguez, José A., Ezequiel López-Rubio, Juan A. Ángel-Ruiz, and Miguel A. Molina-Cabello. 2024. "The Impact of Noise and Brightness on Object Detection Methods" Sensors 24, no. 3: 821. https://doi.org/10.3390/s24030821

APA Style

Rodríguez-Rodríguez, J. A., López-Rubio, E., Ángel-Ruiz, J. A., & Molina-Cabello, M. A. (2024). The Impact of Noise and Brightness on Object Detection Methods. Sensors, 24(3), 821. https://doi.org/10.3390/s24030821

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