Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Road crack detection method based on particle swarm heuristic algorithm
The invention belongs to the technical field of road crack detection, and particularly relates to a road crack detection method based on a particle swarm heuristic algorithm, and the method comprises the following steps: S1, obtaining an image of a road surface; s2, preprocessing the image; the preprocessing comprises graying processing, image denoising and image enhancement; s3, the contour of the crack in the preprocessed image is extracted through a Canny algorithm, and feature extraction is performed on the extracted crack contour by using a scale invariant feature transform (SIFT) method; and S4, using particle swarm optimization crack feature segmentation to obtain a road crack identification result. According to the method, the road crack detection precision and efficiency can be improved, meanwhile, the labor cost is reduced, and the applicable scenes are increased.
本发明属于道路裂缝检测技术领域，尤其涉及一种基于粒子群启发式算法的道路裂缝检测方法，包括以下步骤：S1、获取路面的图像；S2、对图像进行预处理；所述预处理包括灰度化处理、图像去噪和图像增强；S3、通过Canny算法提取出预处理后的图像中裂缝的轮廓，再使用尺度不变特征变换SIFT方法对提取的裂缝轮廓进行特征提取；S4、使用粒子群优化裂缝特征分割，得到道路裂缝识别结果。本方法可以在提升道路裂缝检测精度和效率的同时，降低人力成本，并增加其适用的场景。
Road crack detection method based on particle swarm heuristic algorithm
The invention belongs to the technical field of road crack detection, and particularly relates to a road crack detection method based on a particle swarm heuristic algorithm, and the method comprises the following steps: S1, obtaining an image of a road surface; s2, preprocessing the image; the preprocessing comprises graying processing, image denoising and image enhancement; s3, the contour of the crack in the preprocessed image is extracted through a Canny algorithm, and feature extraction is performed on the extracted crack contour by using a scale invariant feature transform (SIFT) method; and S4, using particle swarm optimization crack feature segmentation to obtain a road crack identification result. According to the method, the road crack detection precision and efficiency can be improved, meanwhile, the labor cost is reduced, and the applicable scenes are increased.
本发明属于道路裂缝检测技术领域，尤其涉及一种基于粒子群启发式算法的道路裂缝检测方法，包括以下步骤：S1、获取路面的图像；S2、对图像进行预处理；所述预处理包括灰度化处理、图像去噪和图像增强；S3、通过Canny算法提取出预处理后的图像中裂缝的轮廓，再使用尺度不变特征变换SIFT方法对提取的裂缝轮廓进行特征提取；S4、使用粒子群优化裂缝特征分割，得到道路裂缝识别结果。本方法可以在提升道路裂缝检测精度和效率的同时，降低人力成本，并增加其适用的场景。
Road crack detection method based on particle swarm heuristic algorithm
一种基于粒子群启发式算法的道路裂缝检测方法
TIAN RENJIE (Autor:in) / TAN XINGYUE (Autor:in) / LAN ZHANGLI (Autor:in) / SHI WEN (Autor:in) / HU QIANQIAN (Autor:in)
19.07.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
G06V
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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