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92 articles for “automated segmentation”
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology · pp. 11–18 Read article
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Segmentation Methods Applied on MR Medical Application
Abstract: AbstractImage segmentation techniques as applied in MRI of human brain are developing by leaps and bounds. The human brain is the most imaging design of the nature. Cancer and neurological problems are resolved using MR of the brain. The automatic diagnostic system starts with medical imaging, segmentation and analysis of the findings and then the final decisions which are further used to treat the patient. In the real world certain …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 30–38 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Effect of Fiber Weight Fraction on the Mechanical Performance of Calotropis Gigantea Fiber-Reinforced Polyester Composites
Abstract: Natural fiber-reinforced composites have attracted more attention as environmentally friendly substitutes to synthetic materials since the move towards a sustainable approach to engineering materials has gained in popularity. This paper focuses on the potential use of Calotropis gigantea (CG) stem fibers as laminate reinforcement with bio-composites made through an unsaturated polyester resin (GP) system. Super strength fibers were pulled out, treated with alkaline to boost interfacial adhesion, and positioned in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 339–349 Read article
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Reliable Data Transport in Platform-Based WSN
Abstract: Wireless Sensor networks (WSNs) are being used widely in the data to day life of human. Sensor network is a collection of tiny sensors connected through different Wireless medium. The main aim of sensor networks is to monitor and control of physical environments from remote locations with better accuracy. WSNs are having a wide range of applications areas such as military battle fields, environmental monitoring, health monitoring sensors in network …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 16–21 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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A Systematic Review: Impact of Preprocessing and Segmentation Methods in Classification of Celiac Disease
Abstract: In this era of technology, endoscopy emerges as the clinically acceptable imaging modality in the detection and diagnosis of celiac disease. As cases of celiac disease are increasing day by day, so it is necessary to make detection automated. The first step of preprocessing and then image segmentation is considered as the most essential step in research before classifying images, in the last two decades. To process the very large …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 1–6 Read article
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Performance Evaluation of Segmentation Algorithms for Apple Fruit Grading
Abstract: For supplying high-quality food products within a short time, automated grading of fruits is getting special attention. Fruit grading technique will grade the fruits using their shapes, color and outer look. This emphasizes the necessity of image segmentation which extracts important features from an image. This paper consists of analysis of different segmentation algorithms for detecting damage part of fruit. Marker-based watershed algorithm uses internal and external markers to locate …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 34–40 Read article
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Vanity Plate Image Estimation of Moving Vehicles
Abstract: AbstractLicense plate recognition of automobile is concern and challenging exploration discussion thread from past little duration. It is a very important field in intelligent transportation systems (ITS). Many times, it would be very hard to recognize the proprietor of an automobile who disregards the commercial transportation law and is moving with a fast speed. The motto of license plate recognition (LPR) systems is to trace, segment and identify the vanity …
Published in Journal of Open Source Developments · Vol. 4, Issue 2, 2017 · pp. 19–27 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Pavement Maintenance Management System: A Review
Abstract: Maintenance plays an essential and integral part in the life of a pavement. The pavement maintenance management system (PMMS) is a systematic method for inspection and rating the pavement condition in a given area. The system also performs a cost effectiveness analysis of various maintenance and rehabilitation strategies. Finally the system prioritize and recommend pavement rehabilitation and maintenance to maximize results within a given budget amount. During execution of maintenance …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 19–30 Read article
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Cost Optimisation-A Case Study of Infrastructure Project
Abstract: The Double Deck component between Automotive Square and Gaddigodam comprised of main spine segment and two wing segments on either sides of spines. Both these spine and wing segment were pre-cast at casting yard and erected at site using double deck launching girder and wing erector system respectively. Further to integrate these components, stitch concrete is provided from bottom of wings using Manlift which required shuttering to be undertaken requiring …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 47–58 Read article
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A Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images
Abstract: AbstractIn this proposed algorithm, an efficient method for extraction and segmentation of blood vasculatures from the retinal eye images is proposed. For finding the features and abnormalities like Fovea, macula, Red lesions and exudates, blood vasculature extraction is one of the most important steps. The proposed algorithm uses tactical combination of Green, L and Y channel of Retinal image, which gives a more accurate and efficient result than the single …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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Shape Features based classification of Herbal Plants from its Powder using Microscopic Image
Abstract: An identification and classification of herbal plants from its powder using the microscopic image is a challenging task. In this paper, a new approach for identification and classification of Indian herbal plants liquorice, rhubarb and dhatura using the microscopic image is proposed. This paper evaluates the effectiveness of the shape based features with a different classifier for classification of herbal plants. The analysis of microscopic images performed in three stages: …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 48–58 Read article
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Geo AI-Powered Urban Footprints
Abstract: In the contemporary era, building footprints are of paramount importance for accurate and current inventories in the development of infrastructure and geospatial analysis. Traditional methods, relying on manual digitization, were largely unsustainable as the urban regions were growing rapidly. Manual digitization was expensive and lacked geometric precision. This paper introduces an automated, end-to-end GEO AI-powered framework for high-end fidelity building footprint extraction from Google Satellite Data. Our approach for this …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Multi-Module Intelligent Wheelchair
Abstract: In this modern world, automation turned into the essential reason for any new gadget. In the vast majority of the gadgets and types of equipment, MEMS go about as a compelling mix according to necessities. MEMS and sensor based wheelchair in particular “IntelliWheelZ” that gives the distinctively capable individuals with an answer for self-sufficient motion both at indoor and open air conditions. IntelliWheelZ is a minimal effort multi-segmental battery worked …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 18–26 Read article
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Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · pp. 28–34 Read article
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Detection of Brain Tumors from MRI Images based On Development of Thinking Computer systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 28–34 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Improved Global Region based Chan-Vese Model
Abstract: Chan-Vese model is one of the fundamental active contour models for image segmentation. In this paper, the authors propose an improved global region based Chan-Vese model which provides solution to some limitations of basic Chan-Vese model. The proposed model avoids re-initialization requirement to increase speed of algorithm by reaction-diffusion method. The stopping criterion to stop segmentation process is also added in the model. To make model automatic, initialization free feature …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 15–21 Read article