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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)Available to Purchase
By
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011

In this paper, we proposed a novel application based on digital image processing model in Freight Train Inspection (FTI) system. Each wagon image of freight train is captured by enterprise Automated Train Scanning System (ATSS). The main challenge of this application is automatically detecting the appropriate region of interest on the image for inspection. To address this problem, the improved adaptive multi-scaled retinex (MSR) and K-mean clustering methods are applied for image enhancement and positioning techniques. In the experimental the proposed model were found to improve the segmentation efficiency, thereby the result of inspection is optimized. The evaluation result also demonstrated the good system performance when the application is implemented using Vision Services Oriented (VSO) framework.

Abstract
Key Words
1 Introduction
2. Automated Train Scanning System
3 Image Processing — Image Enhancement
4. Image Rpocessing - Region of Interest (Roi) Clustering
5. Experimental Results
6. Summaries
References
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