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基于SURF算法的桥梁裂纹图像拼接技术
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（完整内容请下载后查看）Computer Science and Application 计
A Robust Approach for Bridge Crack Image
Mosaic Based on SURF Algorithm
Shuai Meng
College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan
Hunan
Received: Feb. 2nd, 2019; accepted: Feb. 13th, 2019; published: Feb. 20th, 2019
Abstract
Diversified crack difficulties occurred to the detection about bridge health at the present stage.
Meanwhile, it is hard to obtain the high resolution and precision crack images accompanied with
the insurance of the camera sharpness. Therefore, the image mosaic technology was applied to
analysis of the bridge cracks based on the SURF (Speeded up Robust Features) algorithm. First of
all, the captured crack images are mainly pretreated through gray processing to highlight the fea-
ture points and denoised by the way of filtering. Secondly, the feature points of the crack images
are extracted by the SURF and matched through the similar quantity method of Euclidean dis-
tance. Thirdly, the RANSAC (Random Sample Consensus) algorithm is employed to eliminate the
wrong match points and get an exact match. Finally, the weighted average method is used to fuse
for the purpose of image mosaic. The SURF, ORB (Oriented Fast and Rotated BRIEF) and SIFT
(Scale-invariant Feature Transform scale invariant feature transform) were compared by chang-
ing the environment factors like lighting, scale conversion, blurring in the experiment. The re-
search results show that the image mosaic based on the SURF performs higher matching precision,
more real-time and robustness in different environments. Therefore, it performs a strong applica-
tion value in bridge crack image mosaic.
Keywords
Image Mosaic, SURF Algorithm, RANSAC Algorithm, Weighted Mean Method
基于SURF算法的桥梁裂纹图像拼接技术
孟
帅
湖南科技大学机电学院，湖南 湘潭
收稿日期：2019年2月2日；录用日期：2019年2月13日；发布日期：2019年2月20日
文法的桥梁裂纹图像拼接技术[J]. 计算机科学与应用, 2019, 9(2): 375-383.
DOI
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