DocumentCode
2225367
Title
The Application of Digital Image Processing Technology in the Quantitative Study of the Coarse Aggregate Shape Characteristics
Author
Zhang, Juan ; Huang, Xin-Yuan ; Wu, Jian ; Xie, Mao-jin
Author_Institution
Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1471
Lastpage
1475
Abstract
The angularity of coarse aggregate is a key characteristic. The high-temperature stability, low temperature anti-cracking performance and moisture susceptibility of asphalt mixture are influenced greatly when coarse aggregates are used in the asphalt pavement. Three indexes were used for quantizing the angularity of coarse aggregate. They are FI (Form Index), Angularity GM (Gradient Method) and Angularity RM (Radius Method). These three indexes can be obtained through computing the coordinates of the edge-points of the coarse aggregates. The coordinates can be obtained through image processing. The whole process is divided into the following steps: image preprocessing, image segmentation, morphological image processing and contour tracing. Automatic processing of data by computer greatly reduces the workload, and provides the convenience for calculation and storage of data. The information collection of the angularity of coarse aggregate is simplified.
Keywords
gradient methods; image processing; shape recognition; FI; GM; RM; coarse aggregate shape characteristics; digital image processing technology application; gradient method; high temperature stability; image preprocessing; image segmentation; low temperature anticracking performance; moisture susceptibility; morphological image processing; quantitative study; radius method; Aggregates; Asphalt; Digital images; Gradient methods; Image processing; Image segmentation; Moisture; Shape; Stability; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.1173
Filename
5455229
Link To Document