3D reconstruction–based numerical modeling of irregular-shaped geo-objects using digital images: a novel approach

2021 ◽  
Author(s):  
Abhik Maiti ◽  
Debashish Chakravarty
Keyword(s):  
Numerical Modeling ◽  
3D Reconstruction ◽  
Digital Images ◽  
Novel Approach

Adaptive Median Filtering Based on Unsupervised Classification of Pixels

2013 ◽  
pp. 273-296 ◽  
Author(s):  
J. K. Mandal ◽  
Somnath Mukhopadhyay
Keyword(s):  
Clustering Algorithm ◽  
Digital Images ◽  
Unsupervised Classification ◽  
Median Filtering ◽  
Adaptive Window ◽  
Novel Approach ◽  
Weighted Median ◽  
Window Selection ◽  
Filtering Approach

This chapter deals with a novel approach which aims at detection and filtering of impulses in digital images through unsupervised classification of pixels. This approach coagulates directional weighted median filtering with unsupervised pixel classification based adaptive window selection toward detection and filtering of impulses in digital images. K-means based clustering algorithm has been utilized to detect the noisy pixels based adaptive window selection to restore the impulses. Adaptive median filtering approach has been proposed to obtain best possible restoration results. Results demonstrating the effectiveness of the proposed technique are provided for numeric intensity values described in terms of feature vectors. Various benchmark digital images are used to show the restoration results in terms of PSNR (dB) and visual effects which conform better restoration of images through proposed technique.

3D Real-Time Reconstruction Approach for Multimedia Sensor Networks

2010 ◽  
Vol 1 (4) ◽  
pp. 61-77
Author(s):  
Ahmed Mostefaoui ◽  
Benoit Piranda
Keyword(s):  
Sensor Networks ◽  
3D Reconstruction ◽  
Real Time ◽  
Multimedia Data ◽  
Sensor Nodes ◽  
Multimedia Sensor Networks ◽  
Network Bandwidth ◽  
Descriptive Information ◽  
Novel Approach ◽  
Technological Advances

Multimedia sensor networks have emerged due to the tremendous technological advances in multimedia hardware miniaturization and the application potential they present. However, the time sensitive nature of multimedia data makes them very problematic to handle, especially within constrained environments. In this paper, the authors present a novel approach based on continuous 3D real time reconstruction of the monitored area dedicated for video surveillance applications. Real-time 3D reconstruction allows an important network bandwidth reduction in context to sensor nodes sending descriptive information to the fusion server instead heavy video streams. Each node has to support additional processing in order to extract this descriptive information in real-time, which results in video sensors capturing tasks, data analysis, and extraction of features needed for 3D reconstruction. In this paper, the authors focus on the design and implementation of such sensor node and validate their approach through real experimentations conducted on a real video sensor.

A Novel Approach of Restoration of Digital Images Degraded by Impulse Noise

2014 ◽  
Vol 4 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Rashmi Kumari ◽  
Anupriya Asthana ◽  
Vikas Kumar
Keyword(s):  
Impulse Noise ◽  
Fuzzy Inference ◽  
Digital Images ◽  
Window Size ◽  
Qualitative And Quantitative Analysis ◽  
Inference System ◽  
Qualitative And Quantitative ◽  
Novel Approach ◽  
Neuro Fuzzy ◽  
Restoration Method

Restoration of digital images degraded by impulse noise is still a challenge for researchers. Various methods proposed in the literature suffer from common drawbacks: such as introduction of artifacts and blurring of the images. A novel idea is proposed in this paper where presence of impulsive pixels are detected by ANFIS (Adaptive Neuro-Fuzzy Inference System) and mean of the median of suitable window size of noisy image is taken for the removal of the detected corrupted pixels. Experimental results show the effectiveness of the proposed restoration method both by qualitative and quantitative analysis.

scholarly journals A Novel Approach to Numerical Modeling of Metabolic System: Investigation of Chaotic Behavior in Diabetes Mellitus

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Payam Sadeghi Shabestari ◽  
Karthikeyan Rajagopal ◽  
Bahareh Safarbali ◽  
Sajad Jafari ◽  
Prakash Duraisamy
Keyword(s):  
Diabetes Mellitus ◽  
Numerical Modeling ◽  
Time Delay ◽  
Mathematical Models ◽  
Chaotic Behavior ◽  
Dynamical Behavior ◽  
Regulatory System ◽  
Metabolic System ◽  
Novel Approach

Although many mathematical models have been presented for glucose and insulin interaction, none of these models can describe diabetes disease completely. In this work, the dynamical behavior of a regulatory system of glucose-insulin incorporating time delay is studied and a new property of the presented model is revealed. This property can describe the diabetes disease better and therefore may help us in deeper understanding of diabetes, interactions between glucose and insulin, and possible cures for this widespread disease.

scholarly journals Similarity Graph-Based Camera Tracking for Effective 3D Geometry Reconstruction with Mobile RGB-D Camera

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4897
Author(s):  
Jaepung An ◽  
Sangbeom Lee ◽  
Sanghun Park ◽  
Insung Ihm
Keyword(s):  
3D Reconstruction ◽  
Spanning Tree ◽  
Weighted Graph ◽  
Camera Tracking ◽  
Basic Algorithm ◽  
Novel Approach ◽  
3D Geometry ◽  
Processing Order ◽  
Maximum Spanning Tree ◽  
Similarity Graph

In this paper, we present a novel approach for reconstructing 3D geometry from a stream of images captured by a consumer-grade mobile RGB-D sensor. In contrast to previous real-time online approaches that process each incoming image in acquisition order, we show that applying a carefully selected order of (possibly a subset of) frames for pose estimation enables the performance of robust 3D reconstruction while automatically filtering out error-prone images. Our algorithm first organizes the input frames into a weighted graph called the similarity graph. A maximum spanning tree is then found in the graph, and its traversal determines the frames and their processing order. The basic algorithm is then extended by locally repairing the original spanning tree and merging disconnected tree components, if they exist, as much as possible, enhancing the result of 3D reconstruction. The capability of our method to generate a less error-prone stream from an input RGB-D stream may also be effectively combined with more sophisticated state-of-the-art techniques, which further increases their effectiveness in 3D reconstruction.

A novel approach for the prediction of deformation and fracture in hard coatings: Comparison of numerical modeling and nanoindentation tests

2018 ◽  
Vol 117 ◽  
pp. 192-201 ◽  
Author(s):  
Shahed Rezaei ◽  
Mostafa Arghavani ◽  
Stephan Wulfinghoff ◽  
Nathan C. Kruppe ◽  
Tobias Brögelmann ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Hard Coatings ◽  
Novel Approach ◽  
Deformation And Fracture
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