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1936 articles for “2.5D range image” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Malaria Parasite Detection in Thin Blood Smear Images Using Deep Learning
Abstract: Algorithms in deep neural networks are being used to show the presence of malaria and to estimate the depth of infection by automatically counting individual uninfected and infected RBCs in images of thin blood smears. During the training period, the relationship was tried on a set of 13600 images from several thin blood spreads and experiment was conducted. My dataset is divided into 80% for training and 20% for testing. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article
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Region Segmentation and Annotation with Vehicle Detection Validation Application in Airborne Images
Abstract: In this work, the authors propose an automatic image segmentation and annotation system for airborne images. Initial region segmentation using existing region segmentation methods is applied to airborne images first. To deal with over-segmentation on the initial region segmentation results, the authors performed graph-based region merging by constructing an undirected-graph based on 8-connected local neighborhood. For each region, the authors extracted low-level features and used the Support Vector Machine (SVM) …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 9–19 Read article
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Methods for Identifying Regions of Brain Establishment Using Functional Magnetic Resonance Imaging
Abstract: AbstractPurposeful neuro imaging could be a comparatively young discipline inside the neurosciences that has led to important advances in our understanding of the human brain and progress in neuro research project associated with public health. Accurately distinctive activated regions within the brain showing a powerful association with associate in nursing outcome of interest is crucial in terms of sickness prediction and interference. Purposeful resonance imaging (fMRI) is the most generally …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 12–15 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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A Survey based on Image Segmentation for various Approaches
Abstract: The procedure of image segmentation is the system by means of which a given picture is segmented into a few sections with the end goal to examine into more reasonable shape. The image segmentation has incredible significance in the region of image processing. There are certain elements that influence the procedure of picture segmentation like the intensity of picture to be segmented, color, type and the commotion present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
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Speech Hiding in a Digital Image using DWT and DES Algorithm
Abstract: AbstractThe proposed paper presents a speech hiding technique in a digital image (DI). Here the technique used is Discrete Wavelet Transform (DWT). It secures speech signal from unauthorized users. It can be done by embedding speech into an image by steganography. Thus, unauthorized users will not detect secret speech in stego image. Suppose unauthorized users detect the speech that will be fraud because no one can obtain speech signal without …
Published in Journal of Open Source Developments · Vol. 4, Issue 2, 2017 · pp. 13–18 Read article
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Detection and Diagnosis of Colorectal Cancer Using Image Processing
Abstract: Colorectal Cancer gets developed either in colon or in the rectum inside the large intestine, due to the abnormal growth of the cells. For detection and screening of colon cancer, Computed Tomography (CT) Colonography is a valid technique in which digital images of rectum polyps have been investigated. An improved gradient vector flow (IGVF) and various segmentation techniques of colorectal cancer detection are discussed in this paper. The segmented candidates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 1, 2017 · pp. 11–14 Read article
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Decision Fusion Approaches to Spatiotemporal Change Prediction in Satellite Images: A Comparative Study
Abstract: Predicting changes in satellite images remains one of the major challenges in the remote sensing field. However, this process is usually accompanied by several imperfections leading sometimes to erroneous decisions. In order to solve this problem, we propose to introduce knowledge discovery methods to improve the prediction process in satellite images and to decrease the associated imperfections. The proposed approach addresses this issue through the use of two fusion methods …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 2, 2012 · pp. 13–23 Read article
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Analysis of Color and Particulate Depolarization Ratio Profiles for Aerosols using CALIPSO Level 2 Data
Abstract: Aerosols have an important impact on Earth’s climate system by absorbing, scattering and modifying cloud properties. There are many sources of aerosols; both natural and resulting from human activities with widely varying distribution both in space and time. In addition to aerosol columnar spatio-temporal variation, the vertical profile temporal studies provide valuable inputs to various climatic models and radiative transfer studies. This study focuses on the analysis of color ratio …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 1–5 Read article
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Extraction of Retinal Features in Fundus Images for Glaucoma Diagnosis
Abstract: Glaucoma is a major cause for blindness, identified early by the structural changes of optic nerve head in the retina. Retinal image analysis is emerging as an important screening tool for prior detection of eye diseases. Glaucoma is a chronic eye disease in which damage to the optic nerve leads to progressive, irreversible vision loss and it is considered as second leading cause for blindness worldwide. In this research work, …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 21–28 Read article
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A Descriptive Study on Prevalence of Health Problems, their Treatment-Seeking Behavior and Preventive Measures among Selected Class C Employees of PGIMER, Chandigarh, 2015–2016
Abstract: Health is the state of wellbeing that people define in relation to their own values, personality and lifestyle. Thus, there should be awareness regarding prevalent diseases, common health problems and their treatment. Prevalence refers to the total number of individuals in a population who have a disease or health condition at a specific period of time, usually expressed as a percentage of the population. Treatment-seeking behaviour refers to "sequence of …
Published in Journal of Nursing Science & Practice · Vol. 6, Issue 3, 2016 · pp. 40–56 Read article
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Bibliometric Analysis of an Open Access Journal ‘Fixed Point Theory and Applications’ (2006–2010)
Abstract: AbstractThis article presents bibliometric analysis of open access scholarly journal ‘Fixed Point Theory and Applications’. The analysis covers the journal’s articles from the year 2006 to 2010. The bibliometric analysis looks into the issues like total number of articles published during given time period, citation analysis, authorship pattern, forms of documents cited, year-wise distribution of citations, geographical distribution of contributions, authors with maximum contributions and journal metrics. The findings reveal …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 2, 2016 · pp. 35–49 Read article
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Antifungal Susceptibility Pattern of Candida Species Isolates from Dehradun City Hospitals
Abstract: The present investigation on the topic entitled “Antifungal susceptibility analysis of Candida species isolates from Dehradun City hospital.” was accomplished in the Doon University Microbiology laboratory (P.G.) and Hospital, Dehradun, Uttarakhand, during the period of February 2021 to July 2021. A total of 42 clinical samples were collected from patients, suspected of candidiasis from Dehradun city hospitals. Clinical samples were collected from oral cavity, blood, vaginal fluid and urine of …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 12–29 Read article
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Assessment of Finerenone Safety and Efficacy in Individuals with Type 2 Diabetes and Chronic Kidney Disease
Abstract: Background: In this work, we provide strong evidence for the safety and efficacy of finerenone in people with type 2 diabetes and chronic kidney disease. Our goal is to improve patients' quality of life and general well-being through our research. Aim: Finerenone exhibited a significant decrease in the likelihood of renal and cardiovascular (CV) events in individuals with both type 2 diabetes and chronic kidney disease. This exploratory subgroup analysis …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 06–09 Read article
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Advancements in Image Processing Techniques for Computer Vision Applications
Abstract: The fast-developing field of computer vision is transforming how people perceive and comprehend pictures and movies. Autonomous systems, robotics, healthcare, and surveillance are just a few of the many applications that have been made possible by recent significant advances in image and video processing. An overview of current developments in computer vision approaches, algorithms, and techniques for image and video analysis is given in this abstract. In conclusion, the analysis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 27–32 Read article
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Interplay of Thyroid Dynamics in Type 2 Diabetes: A Comprehensive Analytical Study at Government Medical College, Kota, and Affiliated Hospitals
Abstract: Diabetes mellitus is a prevalent endocrine metabolic condition that causes significant morbidity and mortality globally. Innumerable metabolic processes within our bodies depend on thyroid hormones. Excess or deficiency in insulin or thyroid hormones might cause functional problems. The intricate relationship between thyroid disorders and diabetes has been recognized for a considerable period. Patients with diabetes have been known to experience thyroid malfunction, the most prevalent kind of which is hypothyroidism. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 6–11 Read article
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Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture
Abstract: Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture" explores the convergence of cutting-edge technologies in revolutionizing traditional farming practices towards sustainability. This study investigates the integration of Internet of Things (IoT), Artificial Intelligence (AI), and Image Processing techniques in agricultural contexts, aiming to enhance efficiency, productivity, and environmental stewardship. Through a comprehensive review of recent advancements and case studies, this research elucidates the transformative potential of IoT-enabled …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 52–69 Read article
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Comparative Study of Change Detection Methods in High Resolution Images
Abstract: Natural phenomena including weathering, erosion, volcanic eruptions, and plate tectonics, as well as human activities like agriculture, deforestation, and urbanization, cause the Earth's surface to change continuously. In many different applications, such as environmental monitoring, disaster management, urban planning, agriculture and forestry, climate change studies, resource management, and infrastructure monitoring, it may be extremely beneficial to detect and track these changes. There are various algorithms and methods proposed by many …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
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Unmasking Hallucinations in Large Language Models Using Analysis of the LLAMA 2 Model and RAG Intervention
Abstract: The study describes the creation of a chatbot for financial trading called "TradeBot" and how it uses Retrieval Augmented Generation (RAG) to overcome the problem of producing false or unverifiable information, sometimes known as hallucinations. RAG allows the chatbot to refer to an external data source in addition to its taught knowledge, which increases the accuracy of its responses. The NCFM (NSE's Certification in Financial Markets) book was integrated as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 76–86 Read article
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Investigation of Residual Stress, and corrosion behavior of AA6082/Al 2 O 3 /C/ Si 3 N 4 Composite Material
Abstract: The main objective of the current study was to create AA6082/ Al2O3/C/Si3N4 Composite Material by the use of stir casting. The properties of the AA6082/ Al2O3/C/ Si3N4 Composite Material shown a significant improvement, with a micro-hardness rise of 13.5% and a residual stress decrease of 60%. As the testing parameters were increased, the residual stress of the AA6082/ Al2O3/C/ Si3N4 Composite Material rapidly decreased from -65MPa to -15MPa. An electromagnetic …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1104–1109 Read article