scholarly journals Monitoring method for landslide and slope collapse using precision digital camera.

2001 ◽  
Vol 67 (9) ◽  
pp. 1530-1534
Author(s):  
Ryuichi HAMADA ◽  
Ongart CHANTANAMONGKOL ◽  
Kouji TAKADA ◽  
Masato AKETAGAWA ◽  
Kunio TORII ◽  
...  
2020 ◽  
pp. 1420326X2090916
Author(s):  
Gang Yang ◽  
Jianchao Wu ◽  
Qing Hu ◽  
Dongning Lei

To monitor changes in building tilt angles more accurately and efficiently and to safeguard the people's safety and property, a new tilt angle monitoring method was proposed in this paper. This method adopts double square artificial marks and a plumb line determined by MATLAB to record changes in the building tilt angle based on image processing technology. Two black square artificial marks with the size of 10 mm × 10 mm were placed near the side of the plumb line. A digital camera was adopted to collect tilt images which were saved in the computer. The tilt images were successively subjected to image greying, binarization, denoising, image segmentation and pixel calibration. Finally, the true length of a single pixel and tilt angle change value would be obtained. The experimental results showed that the accuracy of the method was 96% higher than the manual method. Compared with traditional manual methods and three-dimensional scanning monitoring methods, the advantages of this method are that the equipment used is relatively cheap, the image calculation workload is small and is suitable in dangerous working conditions. In conclusion, the proposed technique could accurately, concisely and effectively calculate the changes in building tilt angle and improve work efficiency.


2002 ◽  
Vol 12 (4) ◽  
pp. 145-146
Author(s):  
Steven C. Chang
Keyword(s):  

2019 ◽  
Vol 2019 (1) ◽  
pp. 80-85
Author(s):  
Pooshpanjan Roy Biswas ◽  
Alessandro Beltrami ◽  
Joan Saez Gomez

To reproduce colors in one system which differs from another system in terms of the color gamut, it is necessary to use a color gamut mapping process. This color gamut mapping is a method to translate a specific color from a medium (screen, digital camera, scanner, digital file, etc) into another system having a difference in gamut volume. There are different rendering intent options defined by the International Color Consortium [5] to use the different reproduction goals of the user [19]. Any rendering intent used to reproduce colors, includes profile engine decisions to do it, i.e. looking for color accuracy, vivid colors or pleasing reproduction of images. Using the same decisions on different profile engines, the final visual output can look different (more than one Just Noticeable Difference[16]) depending on the profile engine used and the color algorithms that they implement. Profile performance substantially depends on the profiler engine used to create them. Different profilers provide the user with varying levels of liberty to design a profile for their color management needs and preference. The motivation of this study is to rank the performance of various market leading profiler engines on the basis of different metrics designed specifically to report the performance of particular aspects of these profiles. The study helped us take valuable decisions regarding profile performance without any visual assessment to decide on the best profiler engine.


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