Directional mathematical morphology and reformalized Hough transformation for the analysis of topographic maps

1993 ◽  
Vol 15 (4) ◽  
pp. 380-387 ◽  
Author(s):  
H. Yamada ◽  
K. Yamamoto ◽  
K. Hosokawa
Keyword(s):  
Mathematical Morphology ◽  
Topographic Maps ◽  
Hough Transformation

The Study of Counting the Strapping Steel Pipes Based on Image Recognition

2012 ◽  
Vol 490-495 ◽  
pp. 3831-3835
Author(s):  
Xue Hua Li ◽  
Hui Min Liang ◽  
Zhi Kai Cao ◽  
Zhong Yun Jiang ◽  
Long Chen
Keyword(s):  
Mathematical Morphology ◽  
Image Recognition ◽  
Small Area ◽  
Detection Rate ◽  
Hough Transformation ◽  
Steel Pipes ◽  
Economic Profit ◽  
Invariant Moments ◽  
Good Market ◽  
Inner Diameter

The accurate count has been realized and the expected results have been acquired by the image of the end of steel pipes recognized, which has a good market prospect and economic profit. The mathematical morphology was used to preprocess image and inspect the edge of the target. An improved Hough Transformation was applied to recognize inner diameter of steel pipes, which improved the detection rate. The Hu invariant moments described in the area was used to recognize inner diameter of steel pipes, which realized the pipe sum accurately. The method to count points was used to realize the sum of pipes according to the condition that the inner diameter circus of binary pipe image was corroded more times came to change into small area.

An approach to assessment of relief formats for hardcopy topographic maps.

1979 ◽  
Author(s):  
Lawrence M. Potash ◽  
John P. Farrell ◽  
Thomas E. Jeffrey
Keyword(s):  
Topographic Maps

The visualization and assessment of the anterior surface of the cornea using video keratotopography

The Eye ◽  
2020 ◽  
Vol 22 (130) ◽  
pp. 36-43
Author(s):  
Gulnara Andrienko
Keyword(s):  
Contact Lenses ◽  
Corneal Topography ◽  
Topographic Maps ◽  
Specific Situation ◽  
Main Method ◽  
Pathological Conditions ◽  
Quality Of Vision ◽  
Corneal Shape ◽  
Color Map

Corneal topography is the main method for assessing the regularity of the surface of the cornea. Corneal irregularity leads to a deterioration in its refractive properties and a decrease in the quality of vision. Learning the basics of corneal topography will help determine the choice of a color map for a specific situation, as well as understand and analyze the data associated with these maps. This article describes the main types of topographic maps, various patterns of corneal shape in normal and pathological conditions and how to use the data obtained to design and fit contact lenses. Despite the fact that images may vary depending on topographers used, the information presented in this article is universal.

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