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283 articles for “image quality”
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Artificial Intelligence and Creativity
Abstract: Abstract: Human intelligence is now being implemented in machines, and then machines are now known as intelligent machines. These are used to work on their intelligence. This intelligence is known as artificial intelligence. Nowadays we are making new machine with new idea and new creative knowledge that are reducing human effort which are involved in the working of the whole work done by the motor and all other mechanical work. …
Published in Journal of Operating Systems Development & Trends · Vol. 6, Issue 3, 2019 · pp. 9–13 Read article
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ROI based Enhanced Fragile Image Watermarking for Tamper detection
Abstract: Due to increased utilization of web and mixed media applications image watermarking is attaining more popularity. Image watermarking attaches supplementary data about host (original) image as logo/sound/video or content. The primary point of watermarking is to dispense data integrity, copyright assurance, ownership identification and content validation. Along with providing content validation and data integrity watermarking also prevents the content from being modified. The primary necessities of watermarking are security, capacity, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 3, 2018 · pp. 18–25 Read article
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Fetal Ultrasound Image Segmentation
Abstract: The thesis explains development of a time-efficient method for segmentation in fetal ultrasound images so as to recognize femur contour in fetal ultrasound images and refine its shape. The main objective of the project was to develop segmentation of womb and fetus using fetal ultrasound images. Ultrasound segmentation produces detailed visualization of the underlying anatomy of the fetus in real time which can also recognize dynamically varying structures of the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 34–39 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing
Abstract: Apart from its academic origins, the evolution of Artificial Intelligence (AI) has emerged as a notable influence in shaping our daily experiences. Artificial intelligence, which focuses on domains such as image processing and pattern recognition, encompasses a vast array of topics, including its complex applications, obstacles, and societal repercussions. Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Knowledge Representation, and AI Ethics are among the domains in which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Bridging Reality and Virtuality Through Gesture-controlled 3D Holography
Abstract: The continuous advancement of technology has led to the development of innovative techniques and devices aimed at enriching users’ experiences. The technology creates an immersive experience that blurs the lines between virtual and real worlds by allowing users to manipulate three-dimensional holograms with natural hand gestures. Among these advancements, holography emerges as a promising avenue for creating immersive visual displays. However, traditional holographic systems often struggle to provide truly engaging …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1135–1144 Read article
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A Remote Sensing Approach for Monitoring Seasonal Variations in the Water Quality of Lake Guaiba, Southern Brazil
Abstract: Freshwater resources in the tropics are subjected to high rate of pollution due to algal blooms during the summer and due to particulate and organic waste discharge from urban areas during spring. Landsat TM images were used to calculate biochemical oxygen demand and turbidity of Lake Guaiba in Southern Brazil during 2010–2011. The results obtained were compared with the values derived from a yearlong sampling data which were analyzed in …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 1–10 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Comparison of Air Pollution Levels from Ground Monitoring Stations and Satellite Data
Abstract: Air pollution is mainly due to the release of pollutants into the atmosphere which are detrimental to the planet and human health in particular. Monitoring for the air quality parameters is important because it may lead to the adverse effects on the environment. The quantitative analysis of the air pollution spreads over the Bangalore city is carried out using two different data sources, one from ground monitoring stations and the …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 9–25 Read article
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Embedding Dual Watermark in the G-Channel Image Using DCT and 2-D Walsh Code
Abstract: This paper uses two dimensional Walsh coding for blind twofold watermarking algorithm which mixes robust copyright watermark and authentication information into various color images to maintain the copyright ownership of the host images. First watermark i.e. fingerprint image is embedded in the DCT low frequency coefficients of the G-channel image of host image where as the second watermark i.e. mobile phone number is embedded in the DCT block of G-channel …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 27–34 Read article
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An Image Processing Algorithm for Varietal Classification of Sapota Fruits
Abstract: In several cases, fruits of different varieties are often mixed into the same bulk and reach the market/processing unit. In such scenarios, variations in product properties due to varietal variations result in inconsistent product end-product quality. This is of important concern in case of sapota; particularly between Cricket ball and P[ala varieties, the most dominant varieties grown in India. Hence, in the present study, a machine vision system consisting of …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 6–9 Read article
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Drone-based Fire Detection and Crowd Management System using Image Processing
Abstract: AbstractNowadays, fire outbreaks are common issues which cause severe damage towards nature and human properties hence fire detection system are designed to discover fires early in their development when the time will still be available for the safe evacuation of occupants. Early fire detection in the event of an outbreak is pivotal to prevent loss of life and properties. Fire is necessary and profitable to humankind life, but it also …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 30–34 Read article
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Tools, Modern Drugs, and Latest Investigations for the Diagnosis and Treatment of Heart Failure: A Systematic Review of the General Causes
Abstract: Heart failure (HF) diagnosis and treatment present formidable challenges, given the absence of a definitive single test. This systematic literature review aims to comprehensively analyze the current landscape of diagnostic tools, modern drugs, and latest investigative approaches in HF management. Recognizing the complexity of HF etiology, this systematic review emphasizes the importance of advanced diagnostic methods, such as genetic testing and artificial intelligence applications. The systematic review was conducted to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–10 Read article
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AI Based Quality Analysis of Industrial Products
Abstract: The project introduces a new method for sampling data from a group, addressing limitations in traditional approaches. It highlights inefficiencies in inspecting only a few items from a batch, potentially leading to the rejection of entire lots due to isolated errors. To counter these challenges, a system is being designed to automatically inspect every gear in a batch. This system incorporates a conveyor belt for gear movement and a camera …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 39–45 Read article
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Smart Personal Safety Device Using IoT
Abstract: Our goal is to identify a considering the rapid advancement of science and technology and our heavy dependence on technological features, a solution to this important problem for women. We are focusing to make a smart personal safety device that helps women’s and all peoples who need help or an extra security. This project not only helps women’s but also helps children, old age people and disabled people. The design …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 29–35 Read article
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MIRDcalc & OLINDA/EXM Dosimetry Software Analysis by SPECT/CT Scan Data of Lu-177 DOTATATE Radionuclide Therapy of NET Patients
Abstract: Accurate dosimetry is essential in nuclear medicine for optimizing radionuclide therapies and ensuring patient safety. In Radiopharmaceutical dosimetry the Medical Internal Radiation Dosimetry (MIRD)Society is the pioneer in organ-level dosimetry providing the fundamental basis for commonly used clinical and research dosimetry software like MIRDOSE and OLINDA/EXM. Recently, in MIRD Pamphlet No. 28, Part 1, the MIRD committee of the Society of Nuclear Medicine and Medical Imaging presented a new Software …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 48–63 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article