scholarly journals Reflectance Modeling in Machine Vision: Applications in Image Analysis and Synthesis

Author(s):  
Robin Gruna ◽  
Stephan Irgenfrie
2011 ◽  
Vol 460-461 ◽  
pp. 617-620
Author(s):  
Xiu Chen Wang

Aiming at time-consuming and ineffective problem of image window division in fabric defect detection, this paper proposes a new adaptive division method after a large number of experiments. This method can quickly and exactly recognize defect feature. Firstly, a division model on adaptive window is established, secondly, the formula to anticipate generally situation of fabric image is given according to the peaks and valleys change in the model, and methods to calculate the division size and position of adaptive window are given. Finally, we conclude that the algorithm in this paper can quickly and simply select the size and position of window division according to actual situation of different fabric images, and the time of image analysis is shortened and the recognition efficiency is improved.


2000 ◽  
Vol 32 (4) ◽  
pp. 1190-1192
Author(s):  
Dominique Jeulin

The scientific community is saddened to learn of the death of Professor Georges Matheron on 7 August 2000. As a major figure in applied mathematics over four decades, he leaves an outstanding scientific heritage, covering a wide range of domains where probabilistic tools and models are implemented. He also trained more than one generation of researchers, engineers and teachers. In the fields of theoretical and applied random media and image analysis his work has inspired many researchers worldwide: mathematicians, statisticians, physicists, experimentalists, earth scientists, mining engineers and also users of image analysis and synthesis in all its applications (materials, biology, artificial vision, CAD, remote sensing, geophysics, biometry, image coding etc.).


2017 ◽  
Vol 40 (13) ◽  
pp. 3774-3787
Author(s):  
Romulo G Lins

In-process measurement of parts is a field of constant research. Conventionally, industries have used traditional measuring instruments, such as vernier calipers, or even coordinate measuring machines (CMMs), to perform the control quality. In this paper, a system that is both based on machine vision techniques and integrated with a mechatronic system has been developed with the goal of automating the in-process inspection of hot-forged parts. This system uses six cameras, which are installed around the part to be measured. First, the images obtained from the cameras are processed, and thus the part’s dimensions are estimated. Then a statistical analysis is deployed in order to decide if the part may be approved or not. The experimental results validate the application of the proposed method for measuring parts during their processing in real shop floor conditions.


1994 ◽  
Vol 43 (3-4) ◽  
pp. 193-206 ◽  
Author(s):  
K.-H. Englmeier ◽  
M. Haubner ◽  
U. Fink ◽  
B. Fink

2017 ◽  
Vol 204 (8) ◽  
pp. 982-989 ◽  
Author(s):  
T. Koiranen ◽  
T. Melanen ◽  
J. Ilonen ◽  
T. Eerola ◽  
L. Lensu ◽  
...  

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