Image Recognition Method of Rough Surface of Prefabricated Reinforced Concrete
A reinforced concrete and image recognition technology, applied in the field of image processing, can solve the problems of time-consuming and labor-intensive, low efficiency of concrete rough surface, etc.
Active Publication Date: 2022-01-11
祐云信息技术南通有限公司
View PDF8 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] The technical problem to be solved by the present invention is to provide a method for image recognition of prefabricated reinforced concrete rough surface, which solves the problem of low efficiency, time-consuming and labor-intensive detection of concrete rough surface by sand pile method in the prior art
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0034] Below in conjunction with accompanying drawing, structure and working process of the present invention will be further described.
[0035] The machine vision equipment is used to shoot the standard size field of view on the precast concrete surface, and the captured image is used for statistical calculation of the gray level co-occurrence matrix to obtain 6 statistics, and then the K value proximity algorithm is used for classification to obtain the precast concrete roughness grade.
[0036] A method for image recognition of prefabricated reinforced concrete rough surfaces, comprising the following steps:
[0037] Step 1. Collect concrete images with known roughness grades, perform image recognition, save the statistics of the gray level co-occurrence matrix according to the grades, and build a concrete rough surface training set. The roughness grades are detected and obtained by the traditional sand pile method;
[0038] Step 2. Collect the concrete rough surface image...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a method for image recognition of prefabricated reinforced concrete rough surfaces. First, collect concrete images of known roughness grades, perform image recognition, save the statistics of the gray-level co-occurrence matrix according to the grades, and build a concrete rough surface training set. The roughness level is detected and obtained by the traditional sand pile method; secondly, the image of the rough surface of the concrete is collected on the unit area, and the image is processed to obtain the gray level co-occurrence matrix statistics; then, the roughness level of the concrete is classified by the k-value adjacent method ;Finally, compare the obtained concrete roughness level with the result of the traditional sand-filling method, and if it is correct, enter it into the training set. The invention obtains the concrete rough surface image per unit area through the machine vision equipment, uses the image recognition algorithm to quickly identify the concrete roughness level, and helps on-site construction personnel to clarify the operation requirements. The algorithm software of the invention is integrated into the hand-held device, and the roughness level parameters of the concrete rough surface can be obtained after taking pictures.
Description
technical field [0001] The invention belongs to the field of image processing, and in particular relates to an image recognition method for prefabricated reinforced concrete rough surfaces. Background technique [0002] The connection quality of reinforced concrete prefabricated components and cast-in-place concrete is the key to the overall structural performance, and the roughness of the joint surface of reinforced concrete prefabricated components is a key technical point and an important evaluation index of reinforced concrete prefabricated components. In all kinds of joints of precast concrete components, the roughness of the joint surface has a significant impact on the mechanical properties of the joints. The Eurocode regards the roughness of the joint surface as an important parameter for calculating the shear resistance of the joint surface, and the current code in my country also puts forward corresponding design and construction requirements for the roughness of t...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/62G01B11/30
CPCG06T7/0004G01B11/30G06T2207/10004G06T2207/20081G06T2207/30132G06F18/24147
Inventor 赵强姚竝
Owner 祐云信息技术南通有限公司