scholarly journals An automated length measurement system for tilapia fish based on image processing technique

2021 ◽  
Vol 1088 (1) ◽  
pp. 012049
Author(s):  
Nor Salwa Damanhuri ◽  
Mohammad Faiz Mohammad Zamri ◽  
Nor Azlan Othman ◽  
Sarah Addyani Shamsuddin ◽  
Belinda Chong Chiew Meng ◽  
...  
Keyword(s):  
Image Processing ◽  
Measurement System ◽  
Processing Technique ◽  
Length Measurement ◽  
Image Processing Technique

Study on 3-D Measurement Method in Shake Table Tests Using Image Processing Technique: 4th Report — Evaluation of Synthetic Measurement Performance

2006 ◽  
Author(s):  
Satoshi Fujita ◽  
Osamu Furuya ◽  
Hidetaka Hayashi
Keyword(s):  
Image Processing ◽  
Measurement System ◽  
Measurement Method ◽  
Three Dimensional ◽  
Processing Technique ◽  
Shake Table Test ◽  
Image Processing Technique ◽  
Shake Table ◽  
Shake Table Tests ◽  
Dynamic Displacement

In recent years, the importance of the fracturing test using the full-scale model is recognized in order to upgrade an earthquake resistant design. It is, moreover, important to develop a new measurement method which can measure a complex three-dimensional behavior in such fracturing test. This study has been doing research and development of three-dimensional measurement method using an image processing technique for a measurement of dynamic displacement in shake table test without any contact. This measurement system is a very convenient system because it can measure the three-dimensional dynamic displacement in the simple experimental condition that the several makers are only attached to the surface of an experimental structure. The system therefore is the most suitable measurement system for an evaluation of complex three-dimensional behavior of test model. The fundamental hardware and software for the measurement system has been constructed until now. The fundamental dynamic measurement accuracy and effectiveness of the measurement system has been also confirmed from several shake table tests. This paper describes the measurement results of shake table test using historical wooden structure and actual wooden house model in the largest shake table facilities at E-Defense, and evaluates synthetic measurement performance of the developed measurement system.

Study on 3-D Measurement Method in Shake Table Tests Using Image Processing Technique: 3rd Report, Examination of Upgrading for Measurement Accuracy in Actual Fracturing Test

2005 ◽  
Author(s):  
Satoshi Fujita ◽  
Osamu Furuya ◽  
Hiroki Mizuno
Keyword(s):  
Image Processing ◽  
Measurement System ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Three Dimensional ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Shake Table ◽  
Shake Table Tests ◽  
Dynamic Displacement

In recent years, the importance of the fracturing test using the full-scale model is recognized in order to upgrade an earthquake resistant design. It is, moreover, important to develop a new measurement method which can measure a complex three-dimensional behaviour in such fracturing test. This study has been doing research and development of three-dimensional measurement method using an image processing technique for a measurement of dynamic displacement in shake table test without any contact. This measurement system is a very convenient system because it can measure the three-dimensional dynamic displacement in the simple experimental condition that the several makers are only attached to the surface of an experimental structure. The system therefore is the most suitable measurement system for an evaluation of complex 3-dimensional behavior of test model. Fundamental hardware and software for the measurement system has been constructed until now. The fundamental dynamic measurement accuracy and effectiveness of the measurement system has been also confirmed from several shake table tests. This paper describes the examination of the upgrading for the measurement accuracy in actual fracturing test. Moreover, the shake table test results using actual wooden house model were also indicated.

scholarly journals AN EARLY VALIDATION OF IMAGE PROCESSING TECHNIQUE FOR FLATNESS MEASUREMENT

2019 ◽  
Vol 21 (3) ◽  
pp. 229
Author(s):  
Rima Zuriah Amdani ◽  
Eka Pratiwi ◽  
Nadya Larasati Kartika ◽  
Muhammad Azzumar
Keyword(s):  
Image Processing ◽  
Measurement Technique ◽  
Measurement System ◽  
Experimental Validation ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Degree Of Equivalence ◽  
Measurement Results ◽  
Early Validation ◽  
Flatness Measurement

<p>An experimental validation of flatness measurement based on image processing technique has been performed.  The purpose of this study is to know the performance of the image processing technique in the flatness measurement. In addition, this technique will be used as development of current measurement technique that is performed manually. The advantage of using this method is that in the future the measurement system will run semi-automatically, so it can increase the capacity. This study is used 3 samples of optical flat with different in diameter (i.e. 25 mm, 45 mm, and 75 mm). The validation has been performed by comparing measurement results of the image processing technique and the manual technique through degree of equivalence evaluation. The error numbers based on the degree of equivalence criteria between the image processing technique and the manual technique for the flatness measurement of 25 mm, 45 mm, and 75 mm are 0.02, 0.09, and 0.11 respectively. According to those error numbers, the image processing technique measurement results is in agreement with the manual technique. Moreover, those results have validated that the image processing technique has good performance and can potentially be implemented to the flatness measurement.</p>

scholarly journals Construction of measurement system for continua by image processing technique.

2002 ◽  
pp. 165-179 ◽  
Author(s):  
Junji YOSHIDA ◽  
Masato ABE ◽  
CHAMINDALAL Sujeewa Lewangamage ◽  
Yozo FUJINO
Keyword(s):  
Image Processing ◽  
Measurement System ◽  
Processing Technique ◽  
Image Processing Technique

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.

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