Malaria remains a significant global health challenge, causing hundreds of thousands of deaths annually, particularly in tropical and subtropical regions. This study proposes an advanced automated approach for malaria detection by classifying red blood cell images using machine learning and deep learning techniques. Three distinct models: Logistic Regression (LR), Support Vector Machine (SVM), and Inception-V3 were implemented and rigorously evaluated on a dataset comprising 27,558 cell images. The LR model achieved an accuracy of 65.38%, while SVM demonstrated improved classification performance with an accuracy of 84%. The deep learning-based Inception-V3 model outperformed both, achieving... More >

This paper presents an ensemble approach for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) that integrates AlexNet, Support Vector Machine (SVM), and template matching through majority voting to improve classification accuracy under various operating conditions. The study utilizes the MSTAR dataset, focusing on both Standard Operating Conditions (SOC) and Extended Operating Conditions (EOC). The methodology begins with SAR image preprocessing, applying threshold segmentation with histogram equalization and morphological filtering to extract target regions. These regions undergo feature extraction, with AlexNet and SVM separately classifying the targets, while template mat... More >

This editorial provides a comprehensive guide for authors looking to publish in the Journal of Image Analysis and Processing. It outlines the key aspects that editors prioritize, including alignment with the journal’s aims and scope, originality, and technical rigor. Authors are encouraged to focus on innovative contributions in image processing, ensuring their research is well-structured, clearly written, and ethically sound. The article also emphasizes the importance of practical relevance, data transparency, and adhering to submission guidelines. By understanding these requirements, authors can improve their chances of successfully navigating the fast review process and achieving public... More >