Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image edge detection method based on multi-scale Gabor first-order derivative

A first-order derivative, image edge technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as edge discontinuity

Active Publication Date: 2021-02-02
XI'AN POLYTECHNIC UNIVERSITY
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of image edge detection method based on multi-scale Gabor first derivative, which solves the problem of edge discontinuity existing 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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image edge detection method based on multi-scale Gabor first-order derivative
  • Image edge detection method based on multi-scale Gabor first-order derivative
  • Image edge detection method based on multi-scale Gabor first-order derivative

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0069] The present invention is based on the image edge detection method of multi-scale Gabor first order derivative, and its process is as follows figure 1 As shown, the specific steps are as follows:

[0070] Step 1, convert the color image to be detected to the CIE LAB color space, and decompose it into three channel images of L, A, and B; specifically:

[0071] Step 1.1, convert the RGB color space of the color image I(m) to be detected to the CIE XYZ basic system, and convert according to formula (1):

[0072]

[0073] Step 1.2, the color image is converted from CIE XYZ to CIE LAB color space, specifically according to formula (2):

[0074]

[0075] in,

[0076] Step 2, build a multi-scale and multi-directional Gabor first-order derivative filter bank, and filter the L, A, and B channel images respectively to obtain the filter...

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 image edge detection method based on a multi-scale Gabor first-order derivative, and the method specifically comprises the steps of: 1, converting a to-be-detected color image into a CIE LAB color space, and decomposing the to-be-detected color image into an L channel image, an A channel image and a B channel image; 2, constructing a multi-scale and multi-direction Gaborfirst-order derivative filter bank, and respectively filtering the L channel image, the A channel image and the B channel image to obtain a filtering response; 3, calculating an edge intensity graph,an edge directional graph and an edge scale graph according to the filtering response, performing non-maximum suppression according to the edge intensity graph and the edge directional graph, and compensating edge intensity in combination with the edge scale graph to obtain a compensated edge intensity graph; and 4, acquiring an image edge through a double-threshold method according to the compensated edge intensity graph obtained in the step 3. According to the image edge detection method based on the multi-scale Gabor first-order derivative, the problem of edge discontinuity in the prior art is solved.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to an image edge detection method based on multi-scale Gabor first-order derivatives. Background technique [0002] Digital image processing is a method and technology that uses a computer to remove noise, enhance, restore, segment, and extract features from an image. The emergence and rapid development of digital image processing methods and technologies are mainly affected by three factors: one is the development of computers; the other is the development of mathematics, especially the establishment and improvement of discrete mathematics theory; , environment, military, industrial and medical application demand growth. On the other hand, the main purpose of digital image processing is to improve the visual quality of the image, such as image brightness, color transformation, enhancement, suppression of certain components, geometric transformation of the image, etc...

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): G06T7/13G06T7/136G06T7/168
CPCG06T7/13G06T7/136G06T7/168G06T2207/10024
Inventor 顾梅花冯婧王苗苗刘晓龙
Owner XI'AN POLYTECHNIC UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products