A noise-resistant image edge detection method

An image edge and detection method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of low degree of automation, easy to be interfered by noise, inability to apply, etc., to achieve the effect of suppressing false edges

Inactive Publication Date: 2017-10-10
徐德明 +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this algorithm has two main disadvantages: For example, the Canny operator uses the method of finding the mean value of the finite difference in the 2×2 neighborhood to calculate the gradient magnitude, although the edge location is accurate, but it is easily disturbed by noise; such as the double threshold value of the Canny algorithm They are all fixed, the high and low thresholds depend on manual settings, and the degree of automation is low
However, the globalPb algorithm has two main disadvantages: for example, the calculation process is complex, not only to calculate gradients for multi-scale and multi-information, but also require additional spectral clustering calculations to eliminate false edges; for example, because the algorithm needs to provide additional texture information, it limits It cannot be applied in scenes that lack texture information

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
  • A noise-resistant image edge detection method
  • A noise-resistant image edge detection method
  • A noise-resistant image edge detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In order to enable those skilled in the art to better understand the technical solution of the present invention, the product of the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.

[0049] Such as figure 1 As shown, the invention discloses a noise-resistant image edge detection method, comprising the following steps:

[0050] The first step, the calculation of the initial edge information map E, uses the Canny algorithm to calculate the initial edge information map E of the original image; the specific process is:

[0051] a1, using one-dimensional Gaussian operator Perform horizontal and vertical Gaussian smoothing on the original image to obtain the smoothed image I1;

[0052] a2, using two-dimensional Gaussian operator The partial derivative of the image I1 is carried out transversely portrait The gradient map G of the image is obtained by filtering calculation;

[0053] a3. Apply ...

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 an anti-noise image edge detection method. The detection method comprises the steps of: calculating an initial edge information image E; calculating an edge information image E1; enhancing the calculation of edge images E2 and E3; calculating a double threshold; performing anti-noise detection processing; and the like. According to the anti-noise image edge detection method provided by the invention, an image edge can be positioned more accurately; a false edge caused by noise and texture can be suppressed effectively; high and low thresholds of edge detection can be changed adaptively; and the edge detection effect and the automation degree are improved on the premise of adding a small amount of calculation.

Description

technical field [0001] The invention relates to the field of detection and counting of image edges in the field of automation, in particular to an image edge detection method capable of resisting noise. Background technique [0002] Image edge detection is an important technology in image processing and has a wide range of uses. At present, image edge detection has been developed from traditional differential operator to Canny algorithm or globalPb algorithm. [0003] Compared with the traditional differential operator, the Canny operator has the advantages of fast operation speed and high detection accuracy when applied to the detection of image edges, so the Canny operator is widely used in practice. However, this algorithm has two main disadvantages: For example, the Canny operator uses the method of finding the mean value of the finite difference in the 2×2 neighborhood to calculate the gradient magnitude, although the edge location is accurate, but it is easily disturb...

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 Patents(China)
IPC IPC(8): G06T7/13
CPCG06T2207/20112
Inventor 徐德明万长林
Owner 徐德明
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap