An improved image processing technique for asphalt concrete X-ray CT images

2013 ◽  
Vol 14 (2) ◽  
pp. 341-359 ◽  
Author(s):  
H. M. Zelelew ◽  
A. Almuntashri ◽  
S. Agaian ◽  
A. T. Papagiannakis
1993 ◽  
Vol 38 (2) ◽  
pp. 323-328 ◽  
Author(s):  
E Berry ◽  
V G Langkamer ◽  
P C Jackson ◽  
M Snow ◽  
P R Goddard ◽  
...  

2015 ◽  
Author(s):  
Jun Torii ◽  
Yuichi Nagai ◽  
Tatsuya Horita ◽  
Yuuji Matsumoto ◽  
Takehiro Izumo ◽  
...  

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1246-1249 ◽  

The bone fracture is the most common problem and is likely to occur due to traumatic incidents like vehicle accidents, sporting injuries or due to conditions like osteoporosis, cancer related to bones. Fracture cannot be viewed by naked eye and so X-ray, CT, ultrasound, MRI images are used to detect it. These images cannot be diagnosed directly and henceforth image processing plays a very important role in fracture detection. This paper presents an image processing technique that uses Laplacian method of edge detection for accurate identification of fractured bone area from the X-ray/CT images. From the fractured bone area several parameters like mean, standard deviation are calculated in order to analyze the accuracy and sensitivity of the used technique. NIVISION assistant software is used and the statistical parameters are calculated.


1996 ◽  
Vol 23 (2) ◽  
pp. 480-489 ◽  
Author(s):  
Zhong Qi Yue ◽  
Isabelle Morin

Asphalt concrete is a composite material which consists of asphalt cement, voids, fine particles, sand, and coarse aggregates. Previous investigations of asphalt concrete mixtures have mainly concentrated on the macroscopic properties of the composite materials based on the assumption that the mixtures are homogeneous and isotropic. This paper applies an innovative digital image processing technique to quantify the orientations of coarse aggregate particles (≥ 2 mm) in asphalt concrete mixtures such as hot mix asphalt, stone matrix asphalt, and large stone asphalt compacted in the laboratory or field. The results indicate quantitatively that asphalt concrete specimens compacted in the field or in the laboratory with gyratory compactor have an oriented structure of aggregate particle distribution where the major cross sections of aggregate particles have the tendency to lie horizontally, and that aggregate particles are more randomly oriented in the asphalt concrete specimens compacted in the laboratory with the Marshall compactor. Key words: asphalt concrete mixtures, digital image processing, microstructure, aggregate orientation, anisotropy, compaction methods.


Author(s):  
Kesavan Suresh Manic ◽  
Imad Saud Al Naimi ◽  
Feras N. Hasoon ◽  
V. Rajinikanth

A considerable number of heuristic procedures are widely implemented to evaluate biomedical images. This chapter proposes an evaluation procedure for digital bitewing radiography (DBR) images using the Jaya algorithm. The proposed procedure implements an image processing technique by integrating of the multi-thresholding and segmentation procedure to extract the essential tooth elements recorded with DBR. In this paper, 80 dental x-ray images are considered for the evaluation. The performance of the proposed procedure is confirmed using a relative assessment between the extracted section and its corresponding ground-truth. The results of this study confirm that, for most of the DBR cases, the proposed approach offers better values of picture likeliness measures. Hence, this technique can be considered for the automated detection of tooth elements from the DBR obtained from clinics.


2018 ◽  
Vol 24 (S2) ◽  
pp. 140-141
Author(s):  
Jianhong Liu ◽  
Yong Guan ◽  
Liang Chen ◽  
Haobo Bai ◽  
Wenbin Wei ◽  
...  

Abstract:'Missing wedge' problem exists in some kind of CT imaging situations, such as electron microscopy, x-ray nano-CT image, etc. Method such as iterative reconstruction algorithms, total variation based method were applied to improve the reconstruction quality, but the 'missing wedge' artifacts are still inevitable. In this paper, a method based on image processing technique was proposed to locate the 'missing wedge' artifacts in CT reconstruction. The result showed good performance on locating the artifacts, which also showed the potential in CT reconstruction and image analysis in nano-CT.


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