Soil crack feature information extraction method

A technology of feature information and extraction methods, applied in image analysis, image enhancement, instruments, etc., can solve the problems of random errors in measurement results, high instrument prices, and low measurement accuracy, achieving high accuracy, high flexibility, and simple image acquisition Effect

Inactive Publication Date: 2019-09-20
JIANGSU OPEN UNIV +1
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional soil crack measurement methods include feeler gauge method, crack microscope method and electron microscope method, etc. These methods have many shortcomings, such as low measurement accuracy, random errors in the measurement results, or high instrument prices, etc., which are difficult to popularize

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Soil crack feature information extraction method
  • Soil crack feature information extraction method
  • Soil crack feature information extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further explained below in conjunction with specific embodiments.

[0043] A method for extracting characteristic information of soil cracks proposed by the present invention comprises the following steps:

[0044] S1, taking images of soil cracks: use a high-definition digital camera to take photos of soil cracks, use the original image as an input file, and input it into MATLAB software for image processing;

[0045] S2, Soil crack image enhancement processing: use the spatial domain method to enhance the soil crack image, improve the image quality, improve the machine's understanding of the image and the accuracy of analysis, the spatial domain method performs Fourier transform on the image indirectly in the frequency domain ongoing;

[0046]a, Soil grayscale and its correction: Grayscale processing is performed on the true color image. The image grayscale is based on lightness, and the three color components of R, G, and B are mixed ac...

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

No PUM Login to view more

Abstract

The invention discloses a soil crack feature information extraction method. The method comprises the following steps of S1, shooting a soil crack image; S2, carrying out soil crack image enhancement processing; S3, segmenting a soil crack image; S4, carrying out morphological processing on the binary image; and S5, extracting the soil crack feature information. The soil crack characteristic information is extracted by adopting the digital image processing technology, and compared with a traditional method, the method has the advantages of being simple and convenient in image collection, high in accuracy, rich in processing content, high in flexibility, free of random errors, high in calculation efficiency and the like.

Description

technical field [0001] The invention relates to the technical field of extracting characteristic information of soil cracks, in particular to a method for extracting characteristic information of soil cracks. Background technique [0002] Traditional soil crack measurement methods include feeler gauge method, crack microscope method, and electron microscope method. These methods have many shortcomings, such as low measurement accuracy, random errors in the measurement results, or high instrument prices, and are difficult to popularize. [0003] With the rapid development of computer high-performance processors, digital image processing technology has been widely valued and applied. Digital image processing (Digital Image Processing) is a method and technology for processing and analyzing digital image information by computer. Its main purpose and technology include enhancing the image to improve the visual quality of the image, restoring the degraded image to eliminate the ...

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
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/136
CPCG06T7/0002G06T7/12G06T7/136G06T2207/10004G06T2207/20024G06T2207/20164
Inventor 魏翠兰曹秉帅干方群彭双秦品珠邹长新田美荣王燕张琨
Owner JIANGSU OPEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products