57 articles for “image processing algorithms”

Review ArticleOpen accessEvery word in the titleExploring Applications, Datasets, Algorithms, and Technologies in Satellite Image ProcessingBijeesh TV, Bejoy BJ, Michael Moses Thiruthuvanthan, Raju GAmidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,584 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsWEEDS IDENTIFICATION USING EVOLUTIONARY ARTIFICIAL INTELLIGENCE ALGORITHMAhmed M. Tobal, Sahar A. MokhtarIn a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while … …Journal of Computer Science, Vol. 10, Issue 8 · 4 Mar 2014 · 7,823 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsDenoising Methods for MRI ImagerySamuel KozaitisThere are several new denoising algorithms that may be useful for magnetic resonance imaging. We compared the performance of some of the latest denoising algorithms with those that have been developed specifically for MRI imagery. We found that the latest approaches show impressive performance in terms of mean squared error, but a measure based on perceptual quality may be needed … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 30 Aug 2017 · 7,478 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsComparison of Denoising Algorithms for Urban ScenesSamuel KozaitisSeveral new denoising algorithms have recently been presented that display comparable performance and it is unclear which provide the best results. We used the practical example of urban scenes to compare two of the top-performing algorithms. We found that when using the practical case of quantizing input and output imagery, the results were different than when using the conventional method … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 20 Jun 2017 · 7,849 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsIn-Process Vision Inspection Systems for Sorting using Image Processing TechniquesJ. Latha, N. DevarajanProblem statement: Machine vision system is based on digital image processing and is found to be the best sensor detection as its operation is similar to the human eye. The purpose of machine vision is the desire to provide real time machines with visual abilities. Approach: A real time system is developed and is interfaced with the mechanical structure to … …Journal of Computer Science, Vol. 8, Issue 4 · 2 Feb 2012 · 7,075 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 529 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Sentiment Analysis Approach for Affective State Recognition With SWISH-Activated DenseNet-169 in Human Event ForecastingKarthik Elangovan, Prabhakaran Paulraj, Dinesh Babu G L et al.Detecting human feelings from images is perhaps one of the most useful and challenging social communication problems in research. Emotion detection-based deep computing outperforms classic image processing techniques. Facial recognition technology has permeated every aspect of our daily lives, from unlocking our phones to getting private file access on our systems. Machine Learning and Deep Learning make it easy to … …Journal of Computer Science, Vol. 22, Issue 8 · 29 Jul 2026 · 1,211 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDF Cite

Research ArticleOpen accessIn the abstractNonnegative Matrix Factorization Features Extraction and Ensemble Methods Classifier for ECG Image ClassificationHussain K. Ibrahim, Shawkat K. Guirguis, Hend A. ElsayedThis study is a novel proposed classification system for ECG image classification. This proposed system uses nonnegative matrix factorization for feature extraction and ensemble methods for classification, and the results are compared with the features extracted by the principal component analysis, kernel principal component analysis, and independent component analysis. Although algorithms find image classification challenging, humans typically find it easy. … …Journal of Computer Science, Vol. 21, Issue 4 · 15 Mar 2025 · 4,863 accessesView PDF Cite