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

Image segmentation method based on non-down-sampling shearlet conversion and vector C-V model

A non-subsampling, image segmentation technology, applied in the field of image processing to achieve strong directional effects

Inactive Publication Date: 2016-05-25
LIAONING NORMAL UNIVERSITY
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, so far there are no related reports on segmentation methods combining non-subsampled shearlet transform and vector C-V model

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 segmentation method based on non-down-sampling shearlet conversion and vector C-V model
  • Image segmentation method based on non-down-sampling shearlet conversion and vector C-V model
  • Image segmentation method based on non-down-sampling shearlet conversion and vector C-V model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Follow the steps below:

[0037] The Shearlet transform uses the downsampling operator in the multi-resolution representation process, so it will lose the spatial support, imitate the non-subsampled contourlet transform (NonsubsampledContourletTransform, NSCT) construction method, and replace the Laplacian with the non-subsampled Laplacian pyramid algorithm Pyramid algorithm constructs non-subsampled shearlet transform (NonsubsampledShearletTransform, NSST).

[0038] Define the C-V energy functional form as follows,

[0039] (1)

[0040] where H is the Heaviside function, defined as follows:

[0041]

[0042] Its distribution derivative is ;

[0043] for fixed and minimize about The function ,

[0044]

[0045] The Euler-Lagrange equation governing the mean curvature and the error term can be obtained by using the steepest downflow method ;

[0046] The vector C-V model has the following definition:

[0047]

[0048] in Yes in the imag...

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, which belongs to the image processing field, puts forward an image segmentation method based on non-down-sampling shearlet conversion and a vector C-V model. According to the method, multi-level decomposition is carried out on a given image by using non-down-sampling shear waves to obtain low-frequency and high-frequency components at different directions; the components are sent to a vector C-V model; a series of evolving curves distributed uniformly are initialized on the overall image; and an obtained energy functional is minimized to obtain a segmentation result. With the method, the segmentation effect is obvious; and objective evaluation quality and the visual effect are good.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image segmentation method based on non-subsampling Shearlet transform and vector C-V model. Background technique [0002] The importance and practicality of image segmentation has attracted more and more attention. At the same time, a large number of segmentation algorithms have been proposed, but so far there is no simple method that can be widely applied to all images. In other words, , the segmentation algorithm developed for a certain type of image is not necessarily applicable to other types of images. Mumfor-Shah (M-S) segmentation technique is a region-based image segmentation method. Chan and Vese simplified the energy functional in the M-S method by adding items related to the characteristics of the contour area, proposed the famous Chan-Vese (C-V) method, and extended the C-V model to the vector case, and the C-V model in the vector case inherits The advantage of th...

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): G06T7/00
Inventor 王相海方玲玲苏欣朱毅欢
Owner LIAONING NORMAL 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com