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1935 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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Image Enhancement by Correction of Cllipped Pixels: An Exemplification
Abstract: Conventional images store an extremely constrained element scope of brightness. The genuine luma in the bright region of such pictures is regularly lost because of section. At the point when section changes the R, G, B shading ratios of a pixel, shading twisting likewise happens. In this paper, we propose an algorithm to improve both the luma and chroma of the clipping pixels. Our method is in view of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 30–38 Read article
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 Read article
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2:1 Multiplexer Using Different Design Styles: Comparative Analysis
Abstract: AbstractThis paper presents a comparative analysis of 2:1 multiplexer using different logic styles (transmission gate, pass transistor and CMOS logic), with three different technologies i.e. 45nm, 32nm and 16nm. Simulation is done using Synopsys HSPICE tool at 1V power supply. As a result, it is found that the least power is consumed by 2:1 multiplexer implemented using TGL. It consumes 99.7% less power than pass transistor logic and PTL consumes …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 3, 2020 · pp. 5–13 Read article
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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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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)
Abstract: In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 15–23 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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Degree and Distance in 2-cartesian Product of Graphs
Abstract: The cartesian product of two graphs is well-known graph product and studied in detail. This concept has been generalized by introducing 2-cartesian product of graphs. The connectedness of 2-cartesian product of graphs has been discussed earlier. In this paper, first we obtain degree formula and discuss regularity of this product of graphs. Also, we have discuss distance between two vertices in this product.Cite this ArticleH.S. Mehta and U.P. Acharya. Degree …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 3, 2018 · pp. 11–14 Read article
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Image Encryption using Quadtree Compression Technique without any Key Management
Abstract: Now-a-days maintaining the confidential data is a very tough task. When it comes to images, maintaining confidentiality and secrecy is equally difficult. In general there are two approaches being followed for image encryption. One is encrypting the image using encryption algorithms with keys and other is dividing the image into random shares. Butthese approaches are having limitations like in first model, high computation cost and in second model poor quality. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 9–12 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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Improved Face Recognition Rate Based on PCA and LDA Using Image Preprocessing Techniques
Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 19–24 Read article
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Determination of Object Position and Orientation Using Image Processing Technique
Abstract: A method for measuring position and orientation of an object was determined by making use of image processing technique. The position of light sources gives a geometrical constraint between them. Three light sources was designed and constructed at appropriate positions with respect to camera (webcam), the processed/programmed images directly give the coordinate values (x and y) of each of the light spot which were used in calculating their distances apart …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 18–24 Read article
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Flood Inundation Mapping for using Sentinel-1 SAR Data for Assam during 2018
Abstract: This paper is focusing on the flood inundation mapping of Hailakandi, Assam flood during 2018 using Sentinel 1 Single Look Complex (SLC) and Ground Range Detected (GRD) data. For the analysis of water pixels, pre and post event images of SLC and GRD data were downloaded with similar specification such as same date, pat and row. Supervised classification is performed with the pre and post event of the study area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 16–25 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