An automatic interpretation algorithm for image of switch rail expansion displacement based on hierarchical integral gradient

作者：Yin Hui; Huang Hua; Gao Liang; Liu Wencai

来源：China Railway Science, 2015, 36(6): 22-30.

DOI：10.3969/j.issn.1001-4632.2015.06.04

• Automatic monitoring
• Displacement-Based
• Feature matching
• Interpretation methods
• Poor efficiencies
• Reliability test
• Speeded up robust features
• SURF operator

Focusing on the problem of poor efficiency and accuracy of the manual interpretation method for the image of switch rail expansion displacement, an automatic interpretation algorithm based on the hierarchical integral gradient was presented to achieve the real-time automatic monitoring of switch rail expansion displacement. Approaching the target area layer by layer was adopted to overcome the interference of noise and irrelevant information in the image of switch rail expansion displacement. The effective area was extracted step by step from the image under the guidance of the matching results of SURF (Speeded Up Robust Features) operator feature. With the anti-noise characteristics of integral gradient, the feature points of the scale were precisely located according to integral gradient and extreme points. Reliability test was introduced to realize the automatic interpretation for the image of switch rail expansion displacement. The algorithm was applied to interpret the images of switch rail expansion displacement collected from monitoring field. Results show that the proposed algorithm can automatically interpret each image of switch rail expansion displacement in 2 s and the total deviation can be controlled within 0.5 mm, which can meet the requirements for the real-time automatic monitoring of switch rail expansion displacement.

• 出版日期2015
• 单位北京交通大学