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Article
Classification of autism severity levels using facial features and eye gaze patterns
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with varying degrees of severity. Early diagnosis and classification of autism severity are crucial for personalized intervention and su...
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Article
A demarcation model for identifying fish potential zones in the Gulf of Mannar using remote sensing data
The availability of Potential Fishing Zones (PFZ) where fish tend to aggregate in the sea during specific timeframes is limited. These zones are determined based on factors such as sea surface temperature and ...
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Article
Printed circuit board inspection using computer vision
The inspection of electronic components, especially printed circuit boards (PCBs), has greatly benefited from the advancements in computer vision technology. With the miniaturization of electronic components, ...
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Article
Advanced Analysis of Bipolar Disorder Through Computer Vision Technology
This research paper focuses on the analysis of Bipolar Disorder (BD) through the application of structural magnetic resonance imaging (MRI) and a supervised learning framework. The primary goal is to identify ...
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Article
Analysis of heavy metal concentrations in soil using Kriging technique using remote sensing data
The study addresses the challenging task of estimating toxic concentration in soils, focusing on Tirupur District, Tamilnadu, India, utilizing Landsat 8 imagery. Acknowledging the potential environmental reper...
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Article
A Deep Convolutional Neural Network Model for Intelligent Discrimination Between Neurodegenerative Diseases from MR Images
Convolutional neural network (CNN), a variant of artificial neural networks that has been used to control a number of applications related to computer vision including medical image analysis. For Alzheimer's (...
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Article
Biomarker to find neurodegenerative diseases using the structural changes in brain using computer vision
The algorithms in Computer vision play a major role in inferring the valuable hidden information from datasets. Huge data analysis requires more concise techniques for analyzing hidden patterns and behavior fo...
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Article
Analysis of schizophrenia using support vector machine classifier
Schizophrenia affects the substances of the brain, which decreases the volume of the brain and leads to mental disorder. This work deals with the study of using computer aided technique on early diagnose of sc...
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Article
Diagnosis of Parkinson’s disease using EEG and fMRI
Parkinson’s disease (PD) is a brain disorder that leads to shaking, stiffness, and difficulty with walking, balance, and coordination. Parkinson’s symptoms usually begin gradually and get worse over time. We h...
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Article
A study on the analysis of heavy metal concentration using spectral mixture modelling approach and regression in Tirupur, India
The increase of toxic concentration leads environmental pollution. Soil pollution has become the most important problem of current scenario due to the rapid growth of industries. The pollution level can be mea...
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Article
A novel automatic retinal vessel extraction using maximum entropy based EM algorithm
The extraction of blood vessels helps in the diagnosis of diseases and to develop advances of medicine. Retinal blood vessel extraction plays a crucial role in early detection and treatment of retinal diseases...
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Article
Water Pollution Classification in Tiruppur District Using Unsupervised Fully Constrained Least-Squares Method
The water bodies in Tiruppur District are our study area for water pollutant analysis because of an increase in population and the development of industry. It is very important to measure the heavy metal conce...
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Article
Estimating the Pollution Level Based on Heavy Metal Concentration in Water Bodies of Tiruppur District
The increase in toxic metal concentration leads to environmental pollution. The pollution level can be estimated by measuring the concentration of these heavy metals. This work was conducted to determine the l...
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Article
A Novel Automatic Liver Segmentation by Level Set Method Over Real-Time Sensory Computed Tomography
The issues based on gastroenterology are the most distressing diseases in a human anatomy with the largest solid organ, liver that requires serious attention in its diagnosis. The challenging task of Liver seg...
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Article
Analysis of Tsunami-Affected and Reconstructed Areas in Nagapattinam Using Remote Sensing
The recent experiences in the 2004 Indian Ocean tsunami showed the efficiency of remote sensing techniques in quick damage map** and recovery efforts. This study develops an object-based image analysis metho...
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Article
Building Damage Detection of the 2004 Nagapattinam, India, Tsunami Using the Texture and Spectral Features from IKONOS Images
In this paper, we implemented and evaluated the proposed method for building detection and classification using high-resolution imagery (IKONOS) data. Nagapattinam province of Tamil Nadu, which was strongly at...
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Article
Hairline breakage detection in X-ray images using data fusion
This paper deals with identification of hairline breakage in the X-Ray images. The crack in the X-Ray images can be missed due to absence of sharp edges and the intensity inhomogeneity. This work is carried ou...
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Article
Detection of Plaque in Coronary Artery in CMRI Images and 3D Visualization of Blood Flow
Detection of blocks in coronary arteries is becoming crucial interest for early detection of heart attacks. In this paper we propose a framework for detection of plaque in coronary arteries from cardio vascula...
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Article
Change Detection Analysis of Water Pollution in Coimbatore Region using Different Color Models
The data acquired through remote sensing satellites furnish facts about the land and water at varying resolutions and has been widely used for several change detection studies. Apart from the existence of many...
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Article
A Neuro-Fuzzy based System for Classification of Natural Textures
A statistical approach based on the coordinated clusters representation of images is used for classification and recognition of textured images. In this paper, two issues are being addressed; one is the extrac...
