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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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Colour Based Segmentation of a Landsat Image Using K-Means Clustering Algorithm
Abstract: AbstractImage segmentation is one of the typical vintage subjects in image processing and it acts as a bulls-eye of the image processing technique. By definition, image segmentation means identifying the similar regions in the image; or in other words, identifying the homogenous pixels in the image and grouping all these pixels based on the homogeneity condition considered. This homogeneity condition can be like, colour, texture, size, compactness etc. It is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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A Survey on Various Image De-noising Methods
Abstract: Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article
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Satellite Image Processing Using ERDAS Imagine
Abstract: Pictures are the best method for passing on data. Words usually cannot do a picture justice. Pictures briefly pass on data about positions, sizes and interrelationships between articles. People are great at getting data from such pictures, in light of our characteristic visual and mental capacities. Around 75% of the data got by human is in pictorial structure. The paper depicts the essential innovative parts of advanced picture preparing with …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 14–21 Read article
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Deblurring Image Secured Using Blind Deconvolution Algorithm with RSA Algorithm
Abstract: AbstractHow one can get a clear picture from a single motion blurred picture has been a difficult open problem in digital imaging. In this paper, our focal point is on image restoration which is in many instances talked about image deblurring or image deconvolution. Image restoration is the procedure of recovering the common picture from the degraded picture. Image deblurring is a technique to make the picture sharper and great …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 20–26 Read article
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A novel approach based on Genetic Algorithm for High Dynamic Range Image
Abstract: In this paper, for the purpose of acquiring ghost free high dynamic range (HDR) pictures, we introduce another methodology which is taking into account genetic algorithms. It is the combination of numerous pictures which is in view of HDR system, just on condition is utilized for work which is no development of an article and the camera when catching various, differently exposed low dynamic range (LDR) pictures. Makes three LDR …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 20–29 Read article
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Nonlinear Fusion Techniques Comparative Analysis For The Confiscation of Reconnaissance Effects from the Fused Image
Abstract: Image fusion is the process of combining relevant information from two or more images into a single image. It provides a useful tool to integrate multiple images into a composite image. The resulting image will be more informative than any of the input images. Recently the new problem found with the fused image is about reconnaissance effects are present which are inexorable while smearing to the medical field. For solving …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 2, 2015 · pp. 37–40 Read article
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A Memory Efficient No List SPECK (NSK) Wavelet Image Coder for Memory-constrained Applications
Abstract: In this paper, a fast and memory-efficient listless version of set-partitioned embedded block (SPECK) image coder is proposed. Due to the use of linked lists, the original SPECK algorithm requires large run-time memory, making it unsuitable for memory-constrained applications. The proposed coder replaces linked list with small fixed size static memory, to keep track of blocks in set partitioning only and use only two markers to facilitate coding. Replacement of …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 1–16 Read article
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Image Segmentation by Grouping Pixels in Color and Image Space Simultaneously using DBSCAN Clustering Algorithm
Abstract: In this paper, the authors propose a technique for image segmentation by integrating the spatial connectivity and color features of pixels. Taking into account that an image can be considered as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels into different groups of coherent spatial connectivity and color. To discover clusters in spatial databases …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 52–60 Read article
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On Trends in Snow Cover during the Winter Season Over The North – Eastern Himalayas (2000 – 2018)
Abstract: Snow and glaciers in the North-Eastern Himalayas are primary water resources for various rivers originating in the eastern side of the Himalayan range. Global warming and changes in the climate system are believed to play a pivotal role in the changes of snow cover over the North-Eastern Himalayas. The analysis of data from remote sensing sensors can provide useful inputs to studies related to snow cover monitoring and impact assessment. …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 1–8 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Cross-Domain Comparative Analysis of Microwave Imaging Systems for Medical Diagnostics and Industrial Testing
Abstract: Microwave imaging is gaining significant traction as a non-ionizing, low-cost, and portable alternative to conventional diagnostic and inspection modalities in both medical and industrial domains. Leveraging the dielectric contrast between healthy and anomalous tissues or materials, microwave imaging systems enable early-stage detection and characterization of pathological or structural anomalies. This review provides a detailed comparative analysis of microwave imaging systems tailored for three critical applications: breast cancer detection, brain stroke …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 39–48 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Image-Based Evaluation of Implant Tissue Interface Integrity in Polymer Orthopaedic Devices
Abstract: Polymer orthopedic implants offer radiolucency and mechanical compatibility with bone, but long-term success depends on maintaining a stable implant–tissue interface. Routine imaging is widely available for follow-up, yet interface integrity is commonly judged qualitatively, limiting early detection of fixation compromise and reducing comparability across devices and time points. This work presents an image-based methodology to quantify interface integrity by extracting interpretable interface descriptors from a standardized interface belt around the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 170–179 Read article
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Electrical Conductivity and Antibacterial Studies on Chemically Synthesized Poly (2-Methyl Aniline-co-2-Chloro Aniline)-Blend-Polyurethane
Abstract: AbstractElectrically conducting copolymer blend, poly (2-methyl aniline-co-2-chloro aniline)-blend-polyurethane has been synthesized chemically by oxidative polymerization technique using 0.3 M ammonium persulphate (APS) as oxidant, 0.1 M of the anionic surfactant, sodium lauryl sulphate and 1 M HCl as dopant. The formation of the copolymer blend has been confirmed by comparison with the spectral data obtained for the copolymer which was synthesized under the same conditions and characterized. The copolymer blend …
Published in Journal of Polymer & Composites · Vol. 5, Issue 1, 2017 · pp. 7–14 Read article
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Synergistic effect of AlN and 2D-BN Nanoplatelets on Phase Transition Kinetics and Thermal Transport of Eutectic Phase Change Materials
Abstract: High-power-density electronic appliances are in demand to meet the necessity from modern sustainable society. The heat generated with the continuous functioning need to be dissipated to keep electronics cool to retain efficiency and performance. To suppress heat accumulation, surplus heat needs to be controlled by adapting efficient cooling technologies. As an alternative, nanomaterials-enabled phase change materials (PCM)-based cooling is appropriate to curb temperature shoot. This work focuses on developing eutectic …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 11–16 Read article
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Modified Morphology of Wavelet based Transformations for Color Image Compression
Abstract: For the sake of effective transmission and less storage of digital information the signal processing environment requires compression schemes to facilitate easy handling and management of large chunk of information. Such that the redundant data and other chunks of information which can be reproduced from the existing or basic information can be reproduced in no time without requiring large database storages. Wavelet processing is one of such methods which are …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 1–9 Read article
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A Comparative Study on Image Segmentation using Maximal Similarity Region Merging
Abstract: Segmentation is a low level process concerned with images partitioning through defining discontinuity or similarity or equivalently, through finding boundaries or edges. Image segmentation is a mechanism used for an image divide into numerous segments. The main objective is to create the image meaningful and more simple, so as to modification the an image optimization into the something that is additional important and easier to study various approaches of image …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Possible Ionospheric Precursors to Magnitude 6.6, 6.8 and 6.5 Earthquakes near Port Hardy, Canada on 22nd October, 2018
Abstract: On October 22nd, 2018 a series of three large magnitude earthquakes hit areas near Vancouver island of Canada. According to USGS, the earthquakes were shallow with depths of epicenter ranging at around 10 Km. This paper demonstrates possible anomalous changes in the ionospheric parameters like VTEC, foF2, hmF2 in the ionosphere around areas hit by the earthquake a few days prior to the earthquake. These anomalous changes may be treated …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 3, 2018 · pp. 1–11 Read article
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Anti-Escherichia coli Potentials of a Novel Chemical Compound 1-(2-hydroxy-1, 2-diphenylethylidene)-3-phenylthiourea
Abstract: Inspiration from the anti-infective excellence (anti-bacterial, anti-fungal, anti-viral, and anti-malarial) of Schiff’s base molecules as well as knowing the rising importance of low-molecular-weight ligands (LMWL), the present research involved the development of novel Schiff’s base compound utilizing very basic laboratory components; 1-phenylthiourea and benzoin using the conventional synthesis technique. The compounds were comprehensively characterized through sophisticated instruments and further screened for anti-microbial activity against pathogenic Escherichia coli (E. coli, MTCC …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 11, Issue 1, 2020 · pp. 9–12 Read article
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Virtual Screening of Novel 2-substituted -5-hydroxy-1- (2-methyl-3-morpholinopropyl)-1H-indole-3- carboxamide Derivatives for Estrogen Receptor alpha in AF-2 domain for effective Anticancer Treatment
Abstract: Present manuscript describes designing of novel 2-substituted -5-hydroxy-1-(2-methyl-3- morpholinopropyl)-1H-indole-3-carboxamide derivatives as specific ERα modulators, discuss the selection criteria for 1ERR, several interactions between the ligand and the amino acid residues that would probably elicit fruitful modulation of the receptor. Accordingly, a ligand was observed to yield Gscore of -10.016 which was found comparable with the standard ligand Raloxifene (-11.869). The present work has been designed to discover some novel 2-substituted …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 2, 2025 · pp. 31–55 Read article