Implementation of Edge Detection Using the Sobel Operator on Papaya Leaf Images
DOI:
https://doi.org/10.69533/ma9w7b36Keywords:
Computer Vision, Edge Detection, Image Processing, Leaf Image, Sobel OperatorAbstract
Recent advances in digital image processing and computer vision have enhanced feature extraction techniques for plant identification based on leaf morphology. Edge detection is a fundamental operation that highlights intensity discontinuities corresponding to object boundaries. This study implements the Sobel operator to perform edge detection on tropical leaf images using an experimental–computational approach. The workflow involves grayscale conversion, horizontal and vertical Sobel filtering, and gradient magnitude computation implemented in Python using the OpenCV library. Experimental evaluation demonstrates that the Sobel operator effectively delineates primary leaf contours and preserves morphological consistency, despite reduced performance under non-uniform illumination and noisy conditions. These results confirm that the Sobel operator remains a reliable preprocessing technique for leaf-based feature extraction and classification, offering a computationally efficient baseline for future integration with machine learning-based plant recognition systems.
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References
S. Singh et al., “Edge Detection Techniques in Digital Image Processing,” Procedia Computer Science, vol. 167, pp. 1586–1593, 2020.
D. Li, “Leaf Image Analysis for Plant Classification,” IEEE Access, vol. 9, pp. 7685–7695, 2021.
M. N. Rahman and A. F. Ahmad, “Plant Leaf Identification Based on Morphological Features,” International Journal of Computer Vision and Signal Processing, vol. 12, no. 3, pp. 44–51, 2020.
K. Y. Lee, “Comparative Study of Edge Detection Algorithms for Leaf Image Analysis,” International Conference on Computer Vision, IEEE, 2021.
P. D. Patel et al., “A Review on Edge Detection Methods in Image Processing,” Journal of Applied Computer Science & Mathematics, vol. 15, no. 2, pp. 28–35, 2021.
T. Zhang, “Sobel and Prewitt Edge Detection for Natural Images,” Signal & Image Processing: An International Journal, vol. 12, no. 1, pp. 45–55, 2022.
R. Ramesh and M. Ramakrishnan, “Leaf Structure Feature Extraction Using Edge Detection,” Computational Intelligence in Image Processing, Springer, 2022.
H. J. Kim et al., “Gradient-Based Edge Enhancement in Natural Leaf Images,” Sensors, vol. 22, no. 7, p. 2574, 2022.
A. Singh, “Fundamentals of Digital Image Processing,” IEEE Signal Processing Magazine, vol. 39, no. 5, pp. 75–83, 2022.
S. Basu, “Preprocessing Techniques in Computer Vision,” Pattern Recognition Letters, vol. 151, pp. 145–153, 2021.
Gonzalez & Woods, Digital Image Processing, 2018.
L. Liu et al., “Comparative Analysis of Edge Detectors,” Applied Sciences, vol. 10, no. 19, p. 6851, 2020.
N. S. Yadav, “Performance Evaluation of Edge Detection Operators,” International Journal of Image Processing, vol. 14, no. 3, pp. 78–85, 2021.
A. Sharma et al., “Image Enhancement and Edge Detection using Sobel,” Journal of Imaging, vol. 7, no. 12, p. 268, 2021.
M. P. Uddin et al., “A Review on Edge Detection Techniques for Image Segmentation,” Heliyon, vol. 6, no. 8, e04626, 2020.
F. Han and C. Liu, “LoG and Canny Based Edge Detection for Plant Recognition,” Computers and Electronics in Agriculture, vol. 186, p. 106229, 2021.
P. T. Nguyen et al., “Leaf Image Processing and Classification,” Biosystems Engineering, vol. 203, pp. 120–135, 2021.
A. R. Das and S. Majumdar, “Effect of Lighting and Noise in Edge Detection,” Signal Processing and Image Analysis Journal, vol. 45, no. 2, pp. 101–110, 2020.
B. R. Gupta et al., “Performance of Sobel Operator under Uneven Lighting Conditions,” International Journal of Advanced Research in Computer Engineering, vol. 12, no. 1, pp. 22–29, 2023.
R. Pratama, “Perbandingan Operator Prewitt dan Sobel untuk Deteksi Tepi Citra Daun,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 9, no. 2, pp. 85–91, 2022.
J. C. Tan and M. Kho, “Comparative Study of Edge Detection Algorithms,” Procedia Engineering, vol. 212, pp. 284–291, 2022.
L. K. Rahim, “Morphological Leaf Edge Analysis Using Sobel Filter,” Journal of Agricultural Informatics, vol. 14, no. 1, pp. 44–55, 2023.
A. M. Yusuf et al., “Improving Sobel Edge Detection with Gaussian Filtering,” Indonesian Journal of Computing and Cybernetics Systems, vol. 17, no. 4, pp. 231–239, 2023.
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Copyright (c) 2025 Yuda Apriansyah, Nouval Khairi, Haikal Habibi Siregar, Supiyandi, Aidil Halim Lubis (Author)
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