Quantitative Measurement of Micro-Deformation of Electropolished Carbon Steel Using an Image Processing Technique

2003 ◽  
Vol 17 (08n09) ◽  
pp. 1691-1696
Author(s):  
Takayuki Fukuda ◽  
Hironobu Nisitani ◽  
Kikuhito Kawasue
Keyword(s):  
Image Processing ◽  
Quantitative Measurement ◽  
Surface Deformation ◽  
Great Influence ◽  
Processing Technique ◽  
Carbon Steels ◽  
Image Processing Technique ◽  
Banded Structure ◽  
Static Tensile ◽  
Micro Deformation

An automatic technique for the quantitative measurement of micro-surface deformation of a specimen using image-processing is introduced. Static tensile and torsional tests of two kinds of electropolished carbon steels are carried out. One has a banded structure and another has not. The banded structure gives a great influence on the micro-deformation depending on the type of loads. The characteristics of micro-deformations under these static loads are made clear from the results obtained by the image-processing technique.

scholarly journals Analysis of Fine Crack Images Using Image Processing Technique and High-Resolution Camera

2021 ◽  
Vol 11 (20) ◽  
pp. 9714
Author(s):  
Hoseong Jeong ◽  
Baekeun Jeong ◽  
Myounghee Han ◽  
Dooyong Cho
Keyword(s):  
Image Processing ◽  
Crack Width ◽  
Focal Length ◽  
Great Influence ◽  
Health And Safety ◽  
Digital Camera ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Width Measurement ◽  
Working Distance

Visual inspections are performed to investigate cracks in concrete infrastructure. These activities require manpower or equipment such as articulated ladders. Additionally, there are health and safety issues because some structures have low accessibility. To deal with these problems, crack measurement with digital images and digital image processing (DIP) techniques have been adopted in various studies. The objective of this experimental study is to evaluate the optical limit of digital camera lenses as working distance increases. Three different lenses and two digital cameras were used to capture images of lines ranging from 0.1 to 0.5 mm in thickness. As a result of the experiments, it was found that many elements affect width measurement. However, crack width measurement is dependent on the measured pixel values. To accurately measure width, the measured pixel values must be in decimal units, but that is theoretically impossible. According to the results, in the case of 0.3 mm wide or wider cracks, a working distance of 1 m was secured when the focal length was 50 mm, and working distances of 3 m and 4 m were secured when the focal length was 100 mm and 135 mm, respectively. However, for cracks not wider than 0.1 mm, focal lengths of 100 mm and 135 mm showed measurability within 1 m, but a focal length of 50 mm was judged to hardly enable measurement except for certain working positions. Field measurement tests were conducted to verify measurement parameters identified by the results of the indoor experiment. The widths of actual cracks were measured through visual inspection and used for the analysis. From the evaluation, it was confirmed that the number of pixels corresponding to the working distance had a great influence on crack width measurement accuracy when using image processing. Therefore, the optimal distance and measurement guidelines required for the measurement of the size of certain objects was presented for the imaging equipment and optical equipment applied in this study.

scholarly journals A Research for Evaluation of Life Span of a Tire through Image Processing Technique.

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2492-2496
Keyword(s):  
Image Processing ◽  
Life Span ◽  
Surface Deformation ◽  
Principal Component ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Gray Level ◽  
The Road ◽  
Before And After ◽  
Value Decomposition

The tire component of a car is the only one which is in direct contact with the road. They become defective because of factors like driver’s driving, wear out, pressure, overheating, wheel alignment. When the tire is worn, the threads shallow up and can cause the failure of the tires hence reducing safety. A new tire has the capacity of absorbing the heat whereas; the old tire does not absorb the heat and hence is prone to damages. Gray level changes in the image of the tire before and after its surface deformation are found. These changes predict the life of the tire, "more the gray level changes lesser is the life span of the tire and vice-versa". These gray level changes can be found out by using "SVD" The surface deformation of a tire is found by using SVD (Single value decomposition) with PCA(Principal component analysis) algorithm. PCA is used for the sake of Dimensionality Reduction. The principal components depending upon the variance of each training samples and the test samples help in the analysis of its life span. This paper proposes a robust image processing technique developed using the MatLab platform for nondestructive testing of a tire

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

Diagnosis of the state of N in wheat via digital image processing technique

2012 ◽  
Vol 19 (5) ◽  
pp. 1168-1174
Author(s):  
Li-Zhou ZHANG ◽  
Xiao-Yu HOU ◽  
Yu-Ming ZHANG ◽  
Hong-Jun LI ◽  
Yi-Song CHENG ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technique ◽  
The State ◽  
Image Processing Technique ◽  
Digital Image Processing Technique
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