scholarly journals Distributed Anisotropic Diffusion

2010 ◽  
Author(s):  
Kevin Hobbs
Keyword(s):  
Anisotropic Diffusion ◽  
Input Image ◽  
Single Node ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter ◽  
Core Cluster ◽  
Gradient Magnitude ◽  
Standard Vector ◽  
Anisotropic Diffusion Filters

Distributed anisotropic diffusion provides a wrapper program around ITK’s anisotropic diffusion filters that allows an input image to be spread across the memory of several computers and the processors of all of the computers to work simultaneously on the output. Distributed anisotropic diffusion allows the Visible Woman Head dataset to be smoothed with 100 iterations of the vector gradient magnitude anisotropic diffusion filter in 47 minutes on an 8 node 64 core cluster versus 53 minutes for just 10 iterations of standard vector gradient magnitude anisotropic diffusion on a single node.

scholarly journals PREPROCESSING PADA SEGMENTASI CITRA PARU-PARU DAN JANTUNG MENGGUNAKAN ANISOTROPIC DIFFUSION FILTER

2015 ◽  
Vol 14 (2) ◽  
pp. 6
Author(s):  
I Made Oka Widyantara ◽  
A. T. A Prawira Kusuma ◽  
N. M. A. E. Dewi Wirastuti
Keyword(s):  
Sensitivity And Specificity ◽  
Anisotropic Diffusion ◽  
Active Contour ◽  
Medical Image ◽  
Operating Characteristic ◽  
Lung Segmentation ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter ◽  
Image Characteristics ◽  
Anisotropic Diffusion Filters

This paper propose a preprocessing techniques in lung segmentation scheme using Anisotropic Diffusion filters. The aim is to improve the accuracy, sensitivity and specificity results of segmentation. This method was chosen because it has the ability to detect the edge, namely in doing smoothing, this method can obscure noise, while maintaining the edges of objects in the image. Characteristics such as this is needed to process medical image filter, where the boundary between the organ and the background is not so clear. The segmentation process is done by K-means Clustering and Active Contour to segment the lungs. Segmentation results were validated using the Receiver Operating Characteristic (ROC) showed an increased accuracy, sensitivity and specificity, when compared with the results of segmentation in the previous paper, in which the preprocessing method used is Gaussian Lowpass filter.

An anisotropic diffusion filter based on multidirectional separability

2013 ◽  
Author(s):  
Shen Liu ◽  
Jianguo Wei ◽  
Xin Wang ◽  
Wenhuan Lu ◽  
Qiang Fang ◽  
...  
Keyword(s):  
Anisotropic Diffusion ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

Anisotropic diffusion based denoising on concrete images and surface crack segmentation

2019 ◽  
Vol 11 (3) ◽  
pp. 395-409
Author(s):  
Diana Andrushia ◽  
N. Anand ◽  
Prince Arulraj
Keyword(s):  
Health Monitoring ◽  
Anisotropic Diffusion ◽  
Structural Damage ◽  
Performance Metrics ◽  
Research Work ◽  
Structural Similarity ◽  
Structural Defects ◽  
Content Type ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

Purpose Health monitoring of concrete is one of the important tasks in the structural health monitoring. The life of any infrastructure relies on the quality of the concrete. The computer vision-based methods are very useful to identify the structural defects. The identification of minor cracks in the noisy concrete image is complex. The purpose of this paper is to denoise the concrete crack images and also segment the cracks. Design/methodology/approach The novelty of the proposed work lies on the usage of anisotropic diffusion filter in the noisy concrete images. Initially anisotropic diffusion filter is applied to smoothen the concrete images. Adaptive threshold and gray level-based edge stopping constant are used in the diffusion process. The statistical six sigma-based method is utilized to segment the cracks from smoothened concrete images. Findings The proposed method is compared with five state-of-the-art-methods with the performance metrics of mean square error, peak signal to noise ratio and mean structural similarity. The experimental results highlight the advantages of the proposed method. Originality/value The novelty of the proposed work lies on the usage of anisotropic diffusion filter in the noisy concrete images. This research work gives the scope for structural damage evaluation by the automation techniques.

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