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Article

Optimization of Gabor Filters Based on Quaternions for Image Preprocessing in the Automated Detection of Bemisia tabaci in Yellow Traps

by
Ramiro Esquivel-Felix
1,2,
Mireya Moreno-Lucio
1,
Celina Lizeth Castañeda-Miranda
1,*,
Héctor Alonso Guerrero-Osuna
1,
Rodrigo Castañeda-Miranda
1,
Carlos A. Olvera-Olvera
1,
Ma. del Rosario Martínez-Blanco
1 and
Luis Octavio Solís-Sánchez
1,*
1
Posgrado en Ingeniería y Tecnología Aplicada, Unidad Académica de Ingeniería Eléctrica, Laboratorio de Sistemas Inteligentes y Visión Artificial, Laboratorio de Inveciones Aplicadas a la Industria, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico
2
Carreras de Ingeniería Mecatrónica, Ingeniería en agricultura Sustentable y Protegida, Universidad Tecnológica del Estado de Zacatecas, Carr. Zacatecas-Cd Cuauhtémoc Km 5 Ejido, Cieneguitas, Guadalupe, Zacatecas 98601, Mexico;
*
Authors to whom correspondence should be addressed.
Algorithms 2026, 19(5), 360; https://doi.org/10.3390/a19050360
Submission received: 13 February 2026 / Revised: 10 April 2026 / Accepted: 13 April 2026 / Published: 4 May 2026
(This article belongs to the Special Issue Advances in Computer Vision: Emerging Trends and Applications)

Abstract

In precision agriculture, identifying pests such as the whitefly (Bemisia tabaci) is a significant challenge, as precise knowledge of these insects is essential for developing effective Integrated Pest Management (IPM) strategies. Automated daily monitoring within IPM programs optimizes the diagnostic registration stage by reducing logistical expenses and manual errors, enabling early pest treatment interventions and providing quantitative data for informed decision-making. In this study, an image bank was processed using a Quaternionic Gabor Filter (QGF) algorithmto highlight textural features through hypercomplex correlation. The highlighted objects were then processed by a YOLOv8 pretrained model to identify Bemisia tabaci. Experimental results demonstrate that this combination achieves a precision of 0.868 and an mAP@0.5 of 0.950, while a PSNR of 34.10 dB ensures the structural integrity of the enhanced images. Although the total execution time averages 2.3 s per image due to preprocessing complexity, the GPU inference time of 10.3 ms confirms the potential for high-speed detection. This approach significantly enhanced the morphological features of Bemisia tabaci, increasing the robustness of the detection model and narrowing down processing conditions for yellow trap samples to strengthen precision in the semi-arid regions of Zacatecas, Mexico.
Keywords: quaternions; Gabor filters; precision agriculture; angular optimization; object detection; computer vision quaternions; Gabor filters; precision agriculture; angular optimization; object detection; computer vision

Share and Cite

MDPI and ACS Style

Esquivel-Felix, R.; Moreno-Lucio, M.; Castañeda-Miranda, C.L.; Guerrero-Osuna, H.A.; Castañeda-Miranda, R.; Olvera-Olvera, C.A.; Martínez-Blanco, M.d.R.; Solís-Sánchez, L.O. Optimization of Gabor Filters Based on Quaternions for Image Preprocessing in the Automated Detection of Bemisia tabaci in Yellow Traps. Algorithms 2026, 19, 360. https://doi.org/10.3390/a19050360

AMA Style

Esquivel-Felix R, Moreno-Lucio M, Castañeda-Miranda CL, Guerrero-Osuna HA, Castañeda-Miranda R, Olvera-Olvera CA, Martínez-Blanco MdR, Solís-Sánchez LO. Optimization of Gabor Filters Based on Quaternions for Image Preprocessing in the Automated Detection of Bemisia tabaci in Yellow Traps. Algorithms. 2026; 19(5):360. https://doi.org/10.3390/a19050360

Chicago/Turabian Style

Esquivel-Felix, Ramiro, Mireya Moreno-Lucio, Celina Lizeth Castañeda-Miranda, Héctor Alonso Guerrero-Osuna, Rodrigo Castañeda-Miranda, Carlos A. Olvera-Olvera, Ma. del Rosario Martínez-Blanco, and Luis Octavio Solís-Sánchez. 2026. "Optimization of Gabor Filters Based on Quaternions for Image Preprocessing in the Automated Detection of Bemisia tabaci in Yellow Traps" Algorithms 19, no. 5: 360. https://doi.org/10.3390/a19050360

APA Style

Esquivel-Felix, R., Moreno-Lucio, M., Castañeda-Miranda, C. L., Guerrero-Osuna, H. A., Castañeda-Miranda, R., Olvera-Olvera, C. A., Martínez-Blanco, M. d. R., & Solís-Sánchez, L. O. (2026). Optimization of Gabor Filters Based on Quaternions for Image Preprocessing in the Automated Detection of Bemisia tabaci in Yellow Traps. Algorithms, 19(5), 360. https://doi.org/10.3390/a19050360

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