scholarly journals Leg Bone Fracture Segmentation and Detection using Advanced Morphological Techniques

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1246-1249 ◽  
Keyword(s):  
Image Processing ◽  
Bone Fracture ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Bone Area ◽  
Fracture Detection ◽  
Statistical Parameters ◽  
Accurate Identification ◽  
X Ray ◽  
Vehicle Accidents

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.

An image processing technique for the identification of contact pixels applied to X-ray CT images of implanted hip prostheses

1993 ◽  
Vol 38 (2) ◽  
pp. 323-328 ◽  
Author(s):  
E Berry ◽  
V G Langkamer ◽  
P C Jackson ◽  
M Snow ◽  
P R Goddard ◽  
...  
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Ct Images ◽  
Image Processing Technique ◽  
Hip Prostheses ◽  
X Ray

A study on quality improvement of x-ray imaging of the respiratory-system based on a new image processing technique

2015 ◽  
Author(s):  
Jun Torii ◽  
Yuichi Nagai ◽  
Tatsuya Horita ◽  
Yuuji Matsumoto ◽  
Takehiro Izumo ◽  
...  
Keyword(s):  
Image Processing ◽  
Quality Improvement ◽  
Respiratory System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
X Ray ◽  
X Ray Imaging

Quantitative Fractography of Rubber by Image Processing Technique

1995 ◽  
Vol 68 (1) ◽  
pp. 132-145 ◽  
Author(s):  
L. Ganesan ◽  
Pritimoy Bhattacharyya ◽  
Anil K. Bhowmick
Keyword(s):  
Image Processing ◽  
Orthogonal Polynomials ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Frequency Of Occurrence ◽  
Textured Surfaces ◽  
Statistical Parameters ◽  
Closed Set ◽  
Quantitative Fractography ◽  
Local Texture

Abstract In this paper, an image processing technique to quantitatively analyze abraded, torn and fatigue failed surfaces is described. The image surfaces were represented in terms of a closed set of orthogonal polynomials. The significant orthogonal effects were measured and combined to represent the local texture, called pronum. The frequency of occurrence of the pronums is the prospectrum, a global descriptor. Various statistical parameters were calculated from the prospectrum and correlated to the ridge spacings on abraded surfaces. The statistical closeness between various textured surfaces was also quantified. Using the image processing technique, the laborious procedure involved for quantification especially of irregular microfeatures has been shown to be overcome. Author to whom correspondence should be addressed.

Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images

2019 ◽  
pp. 107-128 ◽  
Author(s):  
Kesavan Suresh Manic ◽  
Imad Saud Al Naimi ◽  
Feras N. Hasoon ◽  
V. Rajinikanth
Keyword(s):  
Image Processing ◽  
Ground Truth ◽  
Processing Technique ◽  
Automated Detection ◽  
Image Processing Technique ◽  
Evaluation Procedure ◽  
Jaya Algorithm ◽  
X Ray ◽  
Bitewing Radiography ◽  
Heuristic Procedures

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.

scholarly journals Locating the 'missing wedge' artifacts from limited-angle CT reconstruction

2018 ◽  
Vol 24 (S2) ◽  
pp. 140-141
Author(s):  
Jianhong Liu ◽  
Yong Guan ◽  
Liang Chen ◽  
Haobo Bai ◽  
Wenbin Wei ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Image Analysis ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Ct Image ◽  
Ct Reconstruction ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Reconstruction Quality

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.

scholarly journals Overview of Segmentation X-Ray Medical Images Using Image Processing Technique

2020 ◽  
Vol 1529 ◽  
pp. 042017
Author(s):  
Wan Azani Mustafa ◽  
Nurshahira Mohd Salleh ◽  
Syed Zulkarnain Syed Idrus ◽  
Mohd Aminudin Jamlos ◽  
Mohamad Nur Khairul Hafizi Rohani
Keyword(s):  
Image Processing ◽  
Medical Images ◽  
Processing Technique ◽  
Image Processing Technique ◽  
X Ray
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