Design and Implementation of Spurs Detection System Based on OpenCV

Abstract:

In order to better solve the problem of detection of small bone spurs with convenient and accurate way, a portable spur detection system is designed. This system, in view of spur reproducibility characteristic, is characterized by the application for a kind of the improved algorithm based on the OpenCV. And it was successfully transplanted into the embedded system. The experimental results indicated that this system might precisely examine the small spur with difficulty discovery by naked eyes used fully by two images of computed tomography which done in different periods. The spur detection system needs to be further improved function to realize more applications. In fact, function expansion based on the system is easy to realize.

• Periodical: Advanced Materials Research (Volume 345)
• Pages: 217-222
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.345.217
• Online since: September 2011
• Authors: Peng He, Lian Peng Wang, Na Wang, Gang Xu
• Keywords: ARM, Embedded Linux, Image Processing, OpenCV, Spurs Detection

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