X-ray CT image segmentation: automatic sandwich structure layer separation using reduced dimension Hough transformation

2009 ◽  
Author(s):  
J. Xu ◽  
T. Liu ◽  
R. Kakarala ◽  
X. M. Yin
Keyword(s):  
Image Segmentation ◽  
Sandwich Structure ◽  
Ct Image ◽  
X Ray ◽  
Hough Transformation ◽  
Layer Separation ◽  
Reduced Dimension ◽  
Structure Layer

X-Ray CT Image Segmentation of Asphalt Concrete Based on Fuzzy C-Means

2012 ◽  
Vol 170-173 ◽  
pp. 3444-3448 ◽  
Author(s):  
Jian Jun Wei ◽  
Hai Bin Li ◽  
Cheng Wan
Keyword(s):  
Image Segmentation ◽  
Asphalt Concrete ◽  
Low Density ◽  
Ct Image ◽  
Threshold Values ◽  
Double Peak ◽  
X Ray ◽  
Fuzzy C Means ◽  
Double Peaks ◽  
Image Technique

This study focuses on the threshold segmentation algorithm to obtain the real microstructure of asphalt concrete based on digital image technique, the perlite powder which was a kind of low-density material was put in the asphalt concrete to enhance the density contrast, three different specimens in which added different contents of perlite powder were compacted, and then the asphalt concrete specimens were scanned using x-ray CT to capture the gray images that reflect the density differences of the three constituents such as aggregates, mastic and voids, the CT images were converted to be the histograms. Furthermore, the FCM (Fuzzy C-Means) was demonstrated that it could be utilized to choose proper threshold values and segment images exactly, according to the double peak conditions of the three different histograms, the double peak condition for AC-13 is the best among the three types, a similar double peak features between AK13 and SMA-13 were observed. The results shows that the different contents of perlite powder added in the asphalt concrete can form different double peaks. This is another new method to segment the three constituents of the asphalt concrete exactly.

Experimental Evaluation of X-Ray CT Images of Asphalt Mixture Based on Threshold Segmentation Principle

2012 ◽  
Vol 482-484 ◽  
pp. 327-330 ◽  
Author(s):  
Jian Jun Wei ◽  
Hai Bin Li ◽  
Cheng Wan
Keyword(s):  
Image Segmentation ◽  
Experimental Evaluation ◽  
Asphalt Mixture ◽  
Ct Images ◽  
Ct Image ◽  
Double Peak ◽  
New Approach ◽  
Air Voids ◽  
X Ray ◽  
Different Levels

In order to select threshold of CT image of asphalt mixture for image segmentation more accurately, the perlite powder was added in asphalt mixture to increase the density contrast, three different mixture gradations in which added different levels of perlite powder were prepared and compacted in laboratory, the X-ray CT was used to scan the asphalt mixture specimen to obtain continuous CT images, the CT images were transformed to be histograms which formed double peak. Through comparing with the double peak situation of three mixture types, AC-13 has the best double peak situation, AK-13 and SMA-13 have similar feature of histogram. The results indicate that the addition levels of perlite powder influence the double peak situation significantly. This new approach is an effective way to identify aggregates, mastic and air voids exactly.

Dynamic adaptive residual network for liver CT image segmentation

2021 ◽  
Vol 91 ◽  
pp. 107024 ◽  
Author(s):  
Xiwang Xie ◽  
Weidong Zhang ◽  
Huadeng Wang ◽  
Lingqiao Li ◽  
Zhengyun Feng ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Ct Image ◽  
Residual Network ◽  
Liver Ct
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