Research on Visible Measurement of Dispersion Spot at Four Quadrant Photoelectric Detector

2011 ◽  
Vol 328-330 ◽  
pp. 2086-2091
Author(s):  
Ling Kong He ◽  
Yong Gao ◽  
Shu Cun Ning
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Indirect Measurement ◽  
Detector Output ◽  
Simple Measurement ◽  
Low Efficiency ◽  
Four Quadrant

This paper presented a visible measurement method of dispersion spot at a four-quadrant detector based on digital image processing according to the problem of big measurement error and low efficiency in the existing production process used by the indirect measurement method of dispersion spot based on four-quadrant detector output signal. This method designed a visible measurement optical system and established a visible measurement mathematical model of four-quadrant detector dispersion spot, obtained the four-quadrant detector photosensitive surface and dispersion spot geometrical coordinates and size through digital image processing for the four-quadrant detector photosensitive surface and the dispersion spot, then got the adjustive parameter of out-of-focus distance automatically. The results of the experiment show that this method is intuitive and simple, measurement accuracy is improved from 0.02mm to 0.004mm and the measurement time is reduced from 15 minutes to 2 minutes.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

Detecting Thread Features Based on Digital Image Processing Techniques

2014 ◽  
Vol 889-890 ◽  
pp. 1107-1110
Author(s):  
Han Ming Cai ◽  
Pei Yao Wang ◽  
Xiao Mei Song
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Measuring Method ◽  
Image Processing Techniques ◽  
Basic Image ◽  
The Cost ◽  
Processing Techniques ◽  
Gauge Measurement

Thread features of the traditional measuring method mainly adopts working gauge measurement, due to limitations in the traditional thread features measurement accuracy is relatively low, the efficiency is low, the cost is high. The thread features detection method based on digital image processing techniques using CCD to obtain basic image of thread, processing the thread image, extracting thread outline, calculating thread features through the computer, improves the efficiency, saves the cost.

scholarly journals Postpartum Blood Loss Measurement Using Digital Image Processing

2018 ◽  
Vol 73 ◽  
pp. 13023
Author(s):  
Siska Febrina Fauziah ◽  
Suryono Suryono ◽  
Melyana Nurul Widyawati
Keyword(s):  
Image Processing ◽  
Blood Loss ◽  
Blood Volume ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Delivery Care ◽  
Loss Measurement ◽  
Postpartum Blood Loss ◽  
Image Area

Most of maternal mortality is directly caused by obstetric hemorrhage and almost three-quarters of it take place in postpartum period. The risk of maternal death due to hemorrhage can be reduced with prompt and proper care that in turn relates to the blood loss measurement method used. Unfortunately, the most commonly practiced method is not yet accurate enough. This research proposes a postpartum blood loss measurement method using digital image processing. Initially, characterization is carried out to find out blood absorbance against digital image area and blood volume in the underpad. Results of this characterization then serve as the basis for blood loss measurement using digital image processing. This measurement basis is validated by measuring blood volume lost during delivery care. Results show that the area and volume of blood absorbed in the underpad has significant linear relation (R = 0.9734). Digital image processing can be used to measure postpartum blood loss with a high accuracy up to 83.7%. The use of this method is therefore an accurate and objective alternative to the other available method. Nonetheless, the use of this new method must also adhere to standard guidelines in delivery care as to ensure the utmost outcomes.

Research of the Image-Based Automatic Identification of the High-Strength Al-Alloy Grain Size

2012 ◽  
Vol 531 ◽  
pp. 547-553 ◽  
Author(s):  
Li Xin Zhang ◽  
Shuai Ling Wei ◽  
Zheng Guang Xu ◽  
Xue Chong Ren ◽  
Li Li Lin ◽  
...  
Keyword(s):  
Image Processing ◽  
Grain Size ◽  
Quantitative Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Strength ◽  
Automatic Identification ◽  
Al Alloy ◽  
Fundamental Parameter ◽  
Low Efficiency

In the quantitative analysis of metallographic organization, the grain size is a fundamental parameter. The traditional methods of getting the grain size depend on artificiality. These means have strong subjectivity and low efficiency. In this paper, a new digital image processing technology method is proposed for the measurement of the grain size. The experiment with the 7050 Al-alloy samples show that the proposed algorithm has performed well compared with the artificial methods.

Research on Digital Image Based Displacement Measurement Method

2012 ◽  
Vol 446-449 ◽  
pp. 3399-3404
Author(s):  
Nian Song Hong
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
High Precision ◽  
Digital Image ◽  
Measurement Method ◽  
Displacement Measurement ◽  
Feature Points ◽  
Digital Photogrammetry ◽  
Key Technology ◽  
Main Work

As the characteristics of high precision and non-contact measurement, digital photogrammetry technology is widely applied to displacement engineering measurement. On the basis of digital photogrammetry theory and the digital image processing technology, the main work of this paper is to find a method on displacement measurement method based on digital image which includes the key technology of feature points coordinates extraction from digital image and the algorithm of displacement measurement.

scholarly journals An algorithm for measuring wind speed based on sampling aerosol inhomogeneities

2020 ◽  
Vol 44 (5) ◽  
pp. 791-796
Author(s):  
P.A. Filimonov ◽  
M.L. Belov ◽  
S.E. Ivanov ◽  
V.A. Gorodnichev ◽  
Yu.V. Fedotov
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Wind Speed ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Synthetic Data ◽  
Backscattering Coefficient ◽  
Image Processing Algorithm ◽  
Laser Remote Sensing

A digital image processing algorithm based on sampling aerosol inhomogeneities was developed in the applied problem of laser remote sensing for measuring the velocity of wind. Tests of the developed algorithm were conducted for synthetic data from numerical simulations and data measured by a lidar. The algorithm developed performs processing of the field of aerosol backscattering coefficient in “RangeTime” coordinates and sufficiently increases the measurement accuracy in comparison with correlation methods.

scholarly journals Grinding Wheel Loading Evaluation by Using Acoustic Emission Signals and Digital Image Processing

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4092
Author(s):  
Chien-Sheng Liu ◽  
Yang-Jiun Ou
Keyword(s):  
Image Processing ◽  
Acoustic Emission ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Gear Grinding ◽  
Wheel Loading ◽  
Grinding Machines

In the manufacturing industry, grinding is used as a major process for machining difficult-to-cut materials. Grinding is the most complicated and precise machining process. For grinding machines, continuous generating gear grinding machines are widely used to machine gears which are essential machine elements. However, due to its complicated process, it is very difficult to design a reliable measurement method to identify the grinding wheel loading phenomena during the grinding process. Therefore, this paper proposes a measurement method to identify the grinding wheel loading phenomenon in the grinding process for continuous generating gear grinding machines. In the proposed approach, an acoustic emission (AE) sensor was embedded to monitor the grinding wheel conditions; an offline digital image processing technique was used to determine the loading areas over the surface of Al2O3 grinding wheels; and surface roughness of the ground workpiece was measured to quantify its machining quality. Then these three data were analyzed to find their correlation. The experimental results have shown that there are two stages of grinding in the grinding process and the proposed measurement method can provide a quantitative grinding wheel loading evaluation from the AE signals online.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

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