Study on CCD Measurement System Based on Image Processing

2012 ◽  
Vol 538-541 ◽  
pp. 2143-2146
Author(s):  
Wen Hui Zhao ◽  
Zhen Yun Duan ◽  
Ping Zhao ◽  
Wen Zhen Zhao

The measurement system based on industry CCD and image processing was established to measure 2D sizes of parts. The CCD sensors, lenses, illumination and image acquisition modes were chosen to establish hardware part, according to the requirement of views and precision. The software system was developed to extract the edge of the part from the digital image and transform it to a polynomial. The actual sizes of the part were measured with relative comparison calibrating method. Tests and analyses show that it is an untouched, automatic 2D Measurement system with high accuracy.

Author(s):  
John Mansfield

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.


2013 ◽  
Vol 300-301 ◽  
pp. 1673-1676 ◽  
Author(s):  
Chun Bo Dong ◽  
Xing Jun Hu ◽  
Yan Wang ◽  
Li Min Fu

Digital image processing technology applied to the field of automotive body development, especially the aerodynamic development of the external shape of automobile. This method and its corresponding software improve the efficiency compared with other traditional fluid software tools in processing the car’s front area, reduce artificial error, and have high accuracy. Digital image processing algorithms used in this article includes Image Gray, Median Filtering, Image Segmentation, Contour Extraction and so on.


2013 ◽  
Vol 748 ◽  
pp. 585-589
Author(s):  
Yan Yao Wang ◽  
Li Qing Zhao ◽  
Qing Wei Sun

Through the research of special algorithm which is suitable for the position of garlic cutting umbilical and the garlic cutting umbilical software system which is compiled by a GUI interface program, this issue realizes automatic and precise positioning of garlic cutting umbilical by using digital image processing techniques. The results showed that this program could distinguish garlic roots with garlic body very well and it could provide technical support for the mechanized cutting of garlic roots.


Author(s):  
Romi Fadillah Rahmat ◽  
Sarah Purnamawati ◽  
Handra Saito ◽  
Muhammad Fariz Ichwan ◽  
Tri Murti Lubis

<span>Billboards are objects, tools or actions, which based on the characteristics serve its own purpose to earn profits, advertise certain people or service, and to draw public’s attention by placing it in a very strategic place. It has led the government to charge tax on billboards based on its location, dimensions, and viewpoints. Therefore, authorized parties have to be able to ensure the data authenticity of the proposed billboards. One of the obstacles in data verification is the time of billboards measurement process due to its size and height from the ground, based on this problem, and we developed a system which can measure the dimensions of billboards without physically touching it by implementing image processing methods to identify the billboards. The implementation is by measuring the dimensions of the billboards using perspective concept, then calculates the distance between the camera and the object using two-point distance calculation GPS coordinates. The results showed that the distance calculation using the GPS method generated inaccurate values, whereas the systematic distance method generated a result of errors’ range from 0.5 to 25 cm if the image acquisition is performed nearly perpendicular to the object.</span>


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