scholarly journals A new method of on-line turned surface monitoring by digital image processing

2016 ◽  
Vol 63 ◽  
pp. 04030
Author(s):  
Qingqun Mai ◽  
Yanming Quan ◽  
Peijie Liu ◽  
Guo Ding
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
New Method ◽  
On Line ◽  
Surface Monitoring

Air Quality Evaluation Based on Image Defogging

2014 ◽  
Vol 513-517 ◽  
pp. 3077-3080
Author(s):  
Wen Ming Yang ◽  
Xiang Chen ◽  
Qing Min Liao
Keyword(s):  
Image Processing ◽  
Standard Deviation ◽  
Air Quality ◽  
Digital Image Processing ◽  
Digital Image ◽  
Quality Evaluation ◽  
New Method ◽  
Image Defogging ◽  
Dark Channel ◽  
Excellent Method

Air quality evaluation based on digital image processing is an innovative and promising matter. The density of fog and haze can reflect air quality, therefore we introduce a new method for air quality evaluation via image defogging technology. Dark channel, proposed in [, is an excellent method to remove fog and haze. Using dark channel, we can acquire transmission map of an image, and transmission map contains the information of fog and haze's density, therefore, SDT(standard deviation of transmission) is adopted as a measure in this paper.

Digital image processing as a tool for on-line monitoring of froth in flotation plants

1994 ◽  
Vol 7 (9) ◽  
pp. 1149-1164 ◽  
Author(s):  
D.W. Moolman ◽  
C. Aldrich ◽  
J.S.J. Van Deventer ◽  
W.W. Stange
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
On Line

Improved Watershed Segmentation Method in Rock Fragmentation Analysis on Digital Photos

2011 ◽  
Vol 261-263 ◽  
pp. 1734-1737
Author(s):  
Wei Dong Lei ◽  
Kai Li ◽  
Xue Ping Wang
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technique ◽  
Rock Fragmentation ◽  
New Method ◽  
Image Processing Technique ◽  
Segmentation Method ◽  
Watershed Segmentation ◽  
Digital Image Processing Technique

Reasonable distribution of the rock fragmentation can reduce the overall cost in a mining industry. Digital image processing technique can be used to determine the rock fragmentation distribution function. This paper proposes an improved watershed segmentation method in digital image processing technique. The seven key steps in the new method are presented. Meanwhile, the detailed rock fragmentation analysis is performed on an example digital photo of fragmented rock pile taken from a practical underground mine, to further explain the mechanism of the new method. It is found that the new method can overcome the phenomenon of over-segmentation and over-lapping in digital photos, and exactly detect boundaries for every individual target in the photo.

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