A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The invention relates to the technical field of artificial intelligence, and particularly discloses a road damage detection method based on image processing, and the method comprises the steps: S100, carrying out the image preprocessing, and carrying out the partitioning and slicing operation of an input original image; step S200, image detection: detecting the image processed in the step S100 to obtain a detection result of each image block; according to the method, the input image is subjected to block slicing operation, and meanwhile, the input image and one block of the original image are detected, so that the problem that the detector feature loses in consideration due to large road damage size distribution difference is effectively solved; according to the method, the actual distribution of road damage categories is combined, improved position coding suitable for the scene zone direction is provided, and the transverse method and other methods are fused; the feature attention of the self-attention in the scene is enhanced; the detection effect is improved.
本发明涉及人工智能技术领域，具体公开了一种基于图像处理的道路损伤检测方法，所述方法包括：步骤S100图像预处理，对输入的原始图像进行分块切片操作；步骤S200图像检测，将步骤S100处理后的图像进行检测，分别得到每个图像块的检测结果；本发明通过对输入图像进行分块切片操作同时与原始图像一块进行检测，有效应对道路损伤大小分布差异大的导致的检测器特征顾此失彼的问题；本发明结合道路损伤类别的实际分布，提出了改进的适用于该场景带方向的位置编码，通过融合横向等方法；增强self‑attention在该场景下的特征关注；提升检测效果。
The invention relates to the technical field of artificial intelligence, and particularly discloses a road damage detection method based on image processing, and the method comprises the steps: S100, carrying out the image preprocessing, and carrying out the partitioning and slicing operation of an input original image; step S200, image detection: detecting the image processed in the step S100 to obtain a detection result of each image block; according to the method, the input image is subjected to block slicing operation, and meanwhile, the input image and one block of the original image are detected, so that the problem that the detector feature loses in consideration due to large road damage size distribution difference is effectively solved; according to the method, the actual distribution of road damage categories is combined, improved position coding suitable for the scene zone direction is provided, and the transverse method and other methods are fused; the feature attention of the self-attention in the scene is enhanced; the detection effect is improved.
本发明涉及人工智能技术领域，具体公开了一种基于图像处理的道路损伤检测方法，所述方法包括：步骤S100图像预处理，对输入的原始图像进行分块切片操作；步骤S200图像检测，将步骤S100处理后的图像进行检测，分别得到每个图像块的检测结果；本发明通过对输入图像进行分块切片操作同时与原始图像一块进行检测，有效应对道路损伤大小分布差异大的导致的检测器特征顾此失彼的问题；本发明结合道路损伤类别的实际分布，提出了改进的适用于该场景带方向的位置编码，通过融合横向等方法；增强self‑attention在该场景下的特征关注；提升检测效果。
Road damage detection method based on image processing
一种基于图像处理的道路损伤检测方法
LI YONG (author)
2023-03-28
Patent
Electronic Resource
Chinese
IPC:
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
/
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
/
G06V
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