SAR image super-pixel segmentation method based on variation level set

A superpixel segmentation and superpixel technology, applied in the field of image processing, can solve the problems of SAR image coherent speckle noise, low segmentation accuracy, lack of image texture information, etc., to solve the effect of coherent speckle noise and improve segmentation accuracy.

Active Publication Date: 2019-12-03
XIDIAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the algorithm is used directly, there are problems such as the influence of coherent speckle noise in SAR images and the lack of image texture information, which leads to low segmentation accuracy of the algorithm when segmenting SAR images.

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
  • SAR image super-pixel segmentation method based on variation level set
  • SAR image super-pixel segmentation method based on variation level set
  • SAR image super-pixel segmentation method based on variation level set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Implementation rate and effect of the present invention are further described below in conjunction with accompanying drawing:

[0024] refer to figure 1 , the specific implementation of this example is as follows:

[0025] Step 1: Input SAR image and perform rough segmentation.

[0026] Input the SAR image I to be segmented;

[0027] Evenly insert K superpixel block seed points with a radius of 1 pixel on the SAR image I in the form of a lattice to generate a superpixel block area, K=1, 2, 3..., that is, the SAR image I is roughly divided into An image consisting of K superpixel block regions.

[0028] Step 2: Design the energy functional function based on coherent speckle noise of SAR image.

[0029] (1.1) Obtain the probability model P that the coherent speckle noise of SAR image I caused by echo fading conforms to by statistical method k (u(x,y)):

[0030]

[0031] Among them, u(x, y) is the intensity function of the image, x, y are the real part and imagina...

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 SAR image super-pixel segmentation method based on a variation level set, and mainly solves the problems of low SAR image super-pixel segmentation precision and low super-pixel block region boundary fitting degree caused by SAR image speckle noise influence and texture information loss in the prior art. The method comprises the following steps: inputting an SAR image, and roughly segmenting the SAR image into K superpixel block areas; respectively designing energy functional based on SAR image speckle noise and image texture information; respectively inserting the designed energy functional into an edge evolution iterative equation to obtain a new iterative equation; carrying out edge evolution on the boundary of each super-pixel block region by utilizing a new iterative equation; and finishing super-pixel segmentation after edge evolution of the super-pixel block region is stopped. The SAR image super-pixel segmentation method effectively improves the precision of SAR image super-pixel segmentation, solves the problem that the super-pixel block region boundary fitting degree is not high, and can be used for image processing of airfield runways, farmlanddistribution and geological exploration.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image segmentation method, which can be used for segmentation and extraction of SAR image targets in the field of computer vision. Background technique [0002] The variational method is an effective method for studying integral functionals. The main idea is to solve the solution of the minimum functional. The level set method is an important means to solve the curve evolution method. It can perform numerical calculations on the evolution curves on the network, avoiding direct calculations. Changing curve normal vector and curve curvature. [0003] Synthetic Aperture Radar (SAR) is an active microwave sensor. The SAR image segmentation technology is to divide the complete SAR image into interesting targets with different characteristics, so as to carry out the research and analysis of SAR image. [0004] A superpixel is a collection of pixels composed of ...

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): G06T7/11G06T7/12G06T5/00G06T3/40G06T7/41
CPCG06T7/11G06T7/12G06T5/002G06T3/4053G06T7/41G06T2207/10044
Inventor 余航赵乐许录平冯冬竹鹿玉泽
Owner XIDIAN 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

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