11 articles for “Image Overlapping”

Review ArticleOpen accessIn the keywordsComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,404 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsHandwritten Characters Extraction from Form Based on Line Shape CharacteristicsAli Qusay Al-Faris, Dzulkifli Mohamad, Umi Kalthum Ngah, Nor Ashidi Mat IsaProblem statement: Data entry form is a convenient and successful tool for information collection by filling in the sheets using pen and handwriting. One of the most important fields in these forms is the data filled boxes. Extracting the handwriting from the data entry forms is important for many purposes such as in documenting and archiving. The extraction process is … …Journal of Computer Science, Vol. 7, Issue 12 · 15 Oct 2011 · 7,934 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDual-Branch Shape Texture Learning With Pyramid Residual and Sobel Edge Layers for Rice Variety ClassificationM Pradeep, M SiddappaAutomated rice variety classification categorizes rice types based on features, such as grain texture, shape, color, and size. Traditional handcrafted feature-based models fail at rice classification due to lighting variations, background noise, and environmental conditions, leading to overlapping visual characteristics and frequent misclassification. To address these challenges, this research proposes a novel Dual-Branch Convolutional Neural Network with Pyramid Residual Units … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 627 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based CryptosystemKumari Rinki, Pushpneel Verma, Tanupriya Choudhury, Bhupesh Kumar SinghAs a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel … …Journal of Computer Science, Vol. 17, Issue 10 · 13 Nov 2021 · 6,094 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSpherical Object Tracking using Von Mises-Fisher Distribution in Catadioptric SystemKhald Anisse, Radgui Amina, Rziza MohamedTracking objects on video sequences is a very challenging task in computer vision applications. However, there is few articles that deal with this topic in catadioptric vision. This paper describes a new approach of omnidirectional images (gray level) processing based on inverse stereographic projection in the image plane. Our work is based on minimizing the distance between two models. The … …Journal of Computer Science, Vol. 16, Issue 9 · 20 Sep 2020 · 6,742 accessesView PDF Cite

Research ArticleOpen accessIn the abstractObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,448 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHigh Density Salt and Pepper Noise Filter based on Shepard Interpolation MethodChaipichit Cumpim, Rachu PunchalardThis paper has proposed the technique in order to remove salt-and-pepper noise from the corrupted image. The proposed scheme consists of two steps. The first, the adaptive median filter is applied to noisy image for detecting noisy and noise-free pixels. Finally, the output image of previous step will be divided into many non-overlapping windows of which the noise-free pixel values … …Journal of Computer Science, Vol. 13, Issue 7 · 20 Jul 2017 · 7,231 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,427 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerformance Comparison of Different Image Sizes for Recognizing Unconstrained Handwritten Tamil Characters using SVMN. Shanthi, K. DuraiswamyThis study describes a system for recognizing offline handwritten Tamil characters using Support Vector Machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of 300 dpi and stored as grey scale images. Various preprocessing operations are performed on the digitized image to enhance the quality … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 7,008 accessesView PDF Cite