scholarly journals Rock Particle Image Segmentation and Systems

10.5772/6242 ◽  
2008 ◽  
Author(s):  
Weixing Wang
Keyword(s):  
Image Segmentation ◽  
Particle Image ◽  
Rock Particle

scholarly journals Rock Particle Image Segmentation Based on Improved Normalized Cut

2017 ◽  
Vol 10 (4) ◽  
pp. 271-286
Author(s):  
Gao Ting ◽  
Wang Weixing ◽  
Liu Wei ◽  
Yang Dandan
Keyword(s):  
Image Segmentation ◽  
Particle Image ◽  
Normalized Cut ◽  
Rock Particle

Overlapping Raindrop Particle Image Segmentation Algorithm Based on Boundary Geometrical Characteristics

2013 ◽  
Vol 774-776 ◽  
pp. 1778-1781
Author(s):  
Xiao Feng Yue ◽  
Xiao Wan Liu ◽  
Ping Kai Wang
Keyword(s):  
Image Segmentation ◽  
Particle Image ◽  
Segmentation Algorithm ◽  
Low Contrast ◽  
Geometrical Characteristics ◽  
Matching Rules ◽  
Image Segmentation Algorithm

A method of image segmentation based on boundary geometrical characteristics is proposed to solve the problem of the low contrast and difficulty contour concavity, and different matching rules are given by comparing the numbers of inflexions with the numbers of particle image. Segmentation lines are drawn based on Bresenham algorithm and overlapping particle image are separated by connecting the candidate inflexions. The algorithm is simple and effective, while the results meet the requirements.

The Segmentation of Ferrography Images: A Brief Survey

2013 ◽  
Vol 770 ◽  
pp. 427-432 ◽  
Author(s):  
Jing Qiu Wang ◽  
Xiao Lei Wang
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Image Segmentation ◽  
Particle Image ◽  
Wear Particle ◽  
Wear Particles ◽  
Clustering Methods ◽  
General Overview ◽  
Improved Methods ◽  
Traditional Image

This paper provides a general overview on the developments and progress in the segmentation of ferrography images. The problems experienced with applying traditional image processing methods in the segmentation of wear particles, revealed that it is still a big challenge for intelligent ferrography. This has highlighted the need for combining the segmentation and clustering methods for performing ferrography image analysis. In this paper, some of the developments reported in the literature relating to progress made with wear particle image segmentation are reported and examined as a basis for establishing improved methods of ferrography image analysis.

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