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135 articles for “image detection”
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Bone Mass Density and Osteomyelitis in Elderly-An Overview
Abstract: Bone mass density (BMD) plays a critical role in skeletal health, particularly in the elderly, where age-related bone loss increases susceptibility to infections such as osteomyelitis. Osteomyelitis, a severe bone infection often caused by Staphylococcus aureus, is more prevalent in older adults due to factors such as osteoporosis, impaired immune function, diabetes, and peripheral vascular disease. Reduced BMD weakens bone integrity, making it more vulnerable to fractures and microbial invasion, …
Published in International Journal of Geriatric Nursing · Vol. 8, Issue 1, 2025 Read article
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Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings
Abstract: ABSTRACTThis paper gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines and image processing. Keywords: Glaucoma, HOG, SVM, image processing, Embedded computing.Cite this Article: Fazlulla Khan, Ashok Kusagur. Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings. International Journal of Embedded Systems and Emerging Technologies. 2019; …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 1–6 Read article
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A Sensor-Based Soil Monitoring System for Better Crop Harvesting
Abstract: Crop productivity is strongly affected by soil health, environmental conditions, and the availability of timely and accurate monitoring data. Traditional soil testing and crop assessment methods are labor-intensive and time-consuming. They also lack real-time capabilities, which limits efficient agricultural decision-making. This paper proposes an IoT-enabled smart soil monitoring and crop management system that provides real-time analysis of important soil and environmental parameters to improve agricultural productivity. The proposed system uses …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 18–24 Read article
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A Study of Segmentation Techniques for Diagnosing Melanoma in Dermoscopic Images
Abstract: Skin cancer remains among the deadliest forms of cancer, with an average survival rate ranging from 18% to 20%. Detecting and segmenting melanoma early is a challenging yet crucial undertaking. To effectively segment the lesions, several studies have presented automated and standard techniques. Likewise, traditional methods for segmentation frequently require inputs from humans and cannot be applied in automated systems. The aim of this article is to provide a comparative …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article
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Short Communication on Fingerprint Image Enhancement and its Future Scope
Abstract: The fingerprint images are rarely of perfect quality, due to the reasons like variations in impression condition, skin condition, scanning devices or may be due to non-co-operative attitude of the subject. This degraded quality of image can result in a significant number of spurious minutiae being created and genuine minutiae being ignored. A vital step in studying the statistics of fingerprint minutiae is to reliably extract the minutiae feature from …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 7–8 Read article
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Denoising of Computer Tomography images using Wavelet based Multiple Thresholds Switching (WMTS) filter
Abstract: Computer Topography images are often corrupted by salt and pepper noise during image acquisition and /or transmission, reconstruction due to a number of non-idealities encountered in image sensors and communication channels. Noise is considered to be the number one limiting factor of CT image quality. A novel decision-based filter, called the wavelet based multiple thresholds switching (WMTS) filter, is used to restore images corrupted by salt-pepper impulse noise. The filter …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Fabrication of a Smart LPG Monitoring and Alert System for Homes Using Node MCU and IoT
Abstract: The "Smart LPG and MNGL Gas Monitoring System with Gas Leakage Detection" project is designed to enhance the safety and efficiency of liquefied petroleum gas (LPG) and Maharashtra natural gas limited (MNGL) distribution systems. LPG and MNGL are widely used for cooking and heating purposes, making it crucial to ensure their safe handling and distribution. Gas leakage can lead to life-threatening situations and environmental hazards. This project presents a comprehensive …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 16–21 Read article
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Predictive Modeling of Dengue Mosquito Populations Using Artificial Neural Networksfor Effective Zapping Solutions
Abstract: The World Mosquito Programme highlights the significant global threat posed by dengue fever, estimating that over half of the world's population is at risk, with approximately 390 million cases reported annually. In 2023, India witnessed a substantial increase in dengue cases, recording over 270,000 cases compared to 74,000 in 2017. Dengue Virus (DENV) transmission occurs through Aedes Aegypti Mosquito bites, and with no specific treatment or vaccine available, effective management …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 27–36 Read article
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Real Time Face Mask Detection with Deep Learning
Abstract: The pandemic because of COVID-19 needs no introduction. An all-too-important and successful weapon against it has been the utilization of face masks. A special technique is presented in this paper for detecting automatically whether someone is wearing a mask or not, contingent on the machine learning technique. The findings can be utilized by authorities to warn or fine people for not wearing mask, especially at public places. This work relies …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 8–14 Read article
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Utilizing Remote Sensing and GIS for Water Quality Monitoring
Abstract: The integration of remote sensing and Geographic Information Systems (GIS) offers a sophisticated approach for monitoring and safeguarding water quality. This review examines how remote sensing technologies and GIS can be combined to observe key water quality indicators, such as turbidity, chlorophyll levels, and surface temperature. Remote sensing provides comprehensive, real-time data, which, when analyzed using GIS, enables detailed spatial examination and visualization of water quality patterns. This synergy enhances …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 45–51 Read article
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Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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An Overview on Nanomaterial-Enabled Electronic Skin for Physiological Sensing and Biomedical Use
Abstract: Imagining a world in which prosthetics have the ability to feel, robots are able to detect even the faintest touch, and wearable health monitors are able to track your well-being in a seamless manner. Electronic skin, often known as e-skin, is a revolutionary technology that is set to alter the way in which we interact with the world. This vision has become a reality thanks to their development. What is …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 53–62 Read article
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Analyzing Crowds with Deep Learning: A Review of Methods and Challenges
Abstract: With the growing population, the need for an effective crowd management tool emerged. It is important to monitor and analyze unusual crowd movements and behavior for many applications such as peaceful events, protests, gatherings, or traffic management. Current systems, such as video surveillance, are a useful technique for crowd monitoring, but they require human visual capabilities to monitor the crowd. This work is a paper on Crowd Analysis using convolution …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 30–42 Read article
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Simultaneous Analysis of Radar Look Angel and Placement of Features to Identification of Terrain Feature (Mianrahan Basin in West of Iran
Abstract: In this study, the effect of look angle and placement of feature than radar sensor to detection of the effects of geomorphological features was conducted simultaneously. In this study, the C-band of satellite images Sentinel -1 was used. The images were captured in two different look angles and two different look directions. Four features such as valley, blade, alluvial fans and debris was extracted by visual interpretation of the images, …
Published in International Journal of Landscape Planning and Architecture · Vol. 3, Issue 1, 2017 · pp. 1–10 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article
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Facial Expression Recognition Using Voila and Jones Algorithm and Principal Component Analysis: A Propose Work
Abstract: Human face detection (FD) and recognition is a tough subject matter and a lively location of research. It is not unusual in numerous fields such as image processing (IP) and pc vision. It is the number one and the first step in wide range of applications which include face recognition (FR), private identification (PI), identity verification (IV), facial expression (FE) extraction, and gender class. In this paper, a multilevel model …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 1–9 Read article
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 Read article
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Vehicle Number Plate Detection and Recognition System in Nigeria Using Deep Learning
Abstract: With over 200 million citizens, Nigeria is one of Africa’s largest and most populous nations. It is now essential to automate traffic management due to the rising number of vehicles in the nation. With the use of a deep learning technique known as the YOLO method, the study was able to construct an automatic vehicle license plate identification system that will recognize each of the vehicle license plates when many …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 32–45 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article