Research and Implementation of the Automatic Detection System of Aggregate Particles Characteristic Parameters Based on VC

Abstract:

For the purpose of obtaining the characteristic parameters of the asphalt mixture aggregate particles, a viable method using two-dimensional image was put forward in this paper. The automatic detection system of asphalt mixture aggregate characteristic parameters is developed based on VC++. A series of processing are done on the collected aggregate images, including image edge detection, image segmentation, morphological processing, region-labeling, contouring and so on .The region-labeling algorithm is improved ending with low complexity, high robustness. Database technology is used to deal with the storage, query of the results and several other operations. The whole system is characterized with perfect function, user-friendly interface and stable performance, which provides a practical and accurate method for the characteristic detection of asphalt mixture aggregate particles.

• Periodical: Advanced Materials Research (Volume 1096)
• Pages: 16-21
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1096.16
• Online since: April 2015
• Authors: Xue Li Hao*, Zhao Yun Sun, Wei Li, Yan Ju Hu
• Keywords: Aggregate Particles Detection, Characteristic Parameters, Contour Tracking, Database, Image Segmentation, Region-Labeling

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