Rabab Farhan Abbas

Scopus Publications

Plant Disease Detection Using Siamese Networks
Rabab Farhan Abbas
Iraqi Journal of Science, 2025
Plant sicknesses pose big challenges to crop production and food safety. Early and correct disease prognosis is crucial for powerful disease manipulation and minimizing losses. Despite the superiority of traditional strategies like visual inspection, technological advancements provide new opportunities. This paper explores the software of deep studying equipment, especially Siamese networks, for plant sickness identity in pix. Siamese networks make use of shared weights to study similarities among wholesome and diseased plant images, permitting powerful discrimination based totally on visual characteristics. This approach minimizes the need for handcrafted functions and may generalize to new diseases, making it adaptable throughout various agricultural settings. Real-time photograph processing facilitates early disease detection and intervention strategies. Comparative analysis with traditional strategies, along with CNNs and SVMs demonstrates the effectiveness of Siamese networks in plant disorder detection. Overall, this study showcases the practical application of Siamese networks for correct and well timed plant disease identity in agriculture, offering flexibility, performance, and flexibility to new sickness eventualities.
Residual Network with Attention to Neural Cells Segmentation
Rabab Farhan Abbas, Matheel Emaduldeen Abdulmunim
Iraqi Journal of Science, 2023
Many neuroscience applications, including understanding the evolution of the brain, rely on neural cell instance segmentation, which seeks to integrate the identification and segmentation of neuronal cells in microscopic imagery. However, the task is complicated by cell adhesion, deformation, vague cell outlines, low-contrast cell protrusion structures, and background imperfections. On the other hand, existing segmentation approaches frequently produce inaccurate findings. As a result, an effective strategy for using the residual network with attention to segment cells is suggested in this paper. The segmentation mask of neural cells may be accurately predicted. This method is built on U-net, with EfficientNet serving as the encoder's backbone. The attention approach is employed in the detection and segmentation modules to guide the model's attention to the most valuable features. A massive collection of neural cell microscopic images tests the proposed method. According to the findings of the experiments, this technology can accurately detect and segment neuronal cell occurrences with an intersection over the union IoU of 95.47 and a Dice-Coeff of 98.34, which is superior to current state-of-the-art approaches.
Impact Study of the Fig and Olive Juices on the Pathogen Bacteria using Digital Image Processing Methods
International Journal of Drug Delivery Technology, 2022
A proposed approach to determine the edges in SAR images
Rabab Farhan Abbas
Iraqi Journal of Science, 2020
Radar is the most eminent device in the prolonged scattering era The mechanisms involve using electromagnetic waves to take Synthetic Aperture Radar (SAR) images for long reaching. The process of setting edges is one of the important processes used in many fields, including radar images, which assists in showing objects such as mobile vehicles, ships, aircraft, and meteorological and terrain forms. In order to accurately identify these objects, their edges must be detected. Many old-style methods are used to isolate the edges but they do not give good results in the determination process. Conservative methods use an operator to detect the edges, such as the Sobel operator which is used to perform edge detection where the edge does not appear well. The proposed method which combines Ridgelet transform, Bezier curve and Sobel operator is used to detect edges very efficiently. Ridghelet transform resolves the harms in the wavelet transform and it can well detect the edges in images. Bezier curve can profit gradual variation of the data and their mutability. Hence, the efficiency of the edged image is improved and, when used with Sobel operator, the quality of the edge image become very good. The data show that the advocated method has superior fallouts over the Sobel edge detection and the wavelet method in both subjective and impartial experiments. While the Peak Signal to Noise Ratio(PSNR) values were equal to 9.3812, 9.8918, 9.6521 and 9.0743using the Sobel operator method and to10.2564, 10.7927, 10.5612and 10.8633 using the wavelet method, they were increased in the proposed method to 12.6542, 12.9514, 12.8574 and 12.3013 respectively.

RECENT SCHOLAR PUBLICATIONS

Plant Disease Detection Using Siamese Networks
RF Abbas
Iraqi Journal of Science , 2025
2025.0
Optimizing Vehicle Detection and Tracking Efficiency Through YOLO-Based Multi-Objective Approach
RF Abbas, ME Abdulmunim
Journal of Al-Qadisiyah for Computer Science and Mathematics 16 (2), 62–69-62–69 , 2024
2024.0
Residual Network with Attention to Neural Cells Segmentation
MEA RF Abbas
Iraqi Journal of Science 64 (4), 2023-2036 , 2023
2023.0
Citations: 4
Cassification Enterococcus Faecium and Faecalis Bacteria Images using Bag of Features
RF Abbas
Journal of Al-Qadisiyah for Computer Science and Mathematics 14 (1), 32-41 , 2022
2022.0
Images Enhancement Based on a New Multi-Dimensional Fractal Created by Rectangular Function
R Farhan
Engineering and Technology Journal 40 (10), 1295-1306 , 2022
2022.0
Review on some methods used in image restoration
RF Abbas
Int. Multidiscip. Res. J 10, 13-16 , 2020
2020.0
Citations: 12
A Proposed Approach to Determine the Edges in SAR images
RF Abbas
Iraqi Journal of Science, 185-192 , 2020
2020.0
Citations: 4
A new method to improve canny edge detection on MRI brain affected by Rician Noise
R Farhan
May , 2015
2015.0
Citations: 1
Color Video Denoising by Developing Multiple Transformation Techniques
M Emaduldeen, RF Abass
مجلة المنصور 22 (1), 66= 93-66= 93 , 2014 ‎
2014.0
SAR Images Watermarking Based on Multiwavelet and Curvelet Transforms
ME Abdulmunim, RF Abbas

MOST CITED SCHOLAR PUBLICATIONS

Review on some methods used in image restoration
RF Abbas
Int. Multidiscip. Res. J 10, 13-16 , 2020
2020.0
Citations: 12
Residual Network with Attention to Neural Cells Segmentation
MEA RF Abbas
Iraqi Journal of Science 64 (4), 2023-2036 , 2023
2023.0
Citations: 4
A Proposed Approach to Determine the Edges in SAR images
RF Abbas
Iraqi Journal of Science, 185-192 , 2020
2020.0
Citations: 4
A new method to improve canny edge detection on MRI brain affected by Rician Noise
R Farhan
May , 2015
2015.0
Citations: 1
Plant Disease Detection Using Siamese Networks
RF Abbas
Iraqi Journal of Science , 2025
2025.0
Optimizing Vehicle Detection and Tracking Efficiency Through YOLO-Based Multi-Objective Approach
RF Abbas, ME Abdulmunim
Journal of Al-Qadisiyah for Computer Science and Mathematics 16 (2), 62–69-62–69 , 2024
2024.0
Cassification Enterococcus Faecium and Faecalis Bacteria Images using Bag of Features
RF Abbas
Journal of Al-Qadisiyah for Computer Science and Mathematics 14 (1), 32-41 , 2022
2022.0
Images Enhancement Based on a New Multi-Dimensional Fractal Created by Rectangular Function
R Farhan
Engineering and Technology Journal 40 (10), 1295-1306 , 2022
2022.0
Color Video Denoising by Developing Multiple Transformation Techniques
M Emaduldeen, RF Abass
مجلة المنصور 22 (1), 66= 93-66= 93 , 2014 ‎
2014.0
SAR Images Watermarking Based on Multiwavelet and Curvelet Transforms
ME Abdulmunim, RF Abbas