Level set method for edge detection of SAR images of airport roads

An edge detection and level set technology, applied in the field of image processing, can solve the problems of unable to obtain edge detection effect, unable to effectively overcome noise interference, unable to obtain satisfaction, etc., to avoid excessive manual intervention, improve accuracy, and overcome noise. the effect of interference

Active Publication Date: 2011-03-02
XIDIAN UNIV
View PDF2 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the level set method is mainly used in the field of medical images. If the level set method is only applied to SAR images, satisfactory results cannot be obtained.
For example, in Professor Li Chunming's article "Level SetEvolution Without Re-initialization: A New Variational Formulation", the level set method is mainly

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
  • Level set method for edge detection of SAR images of airport roads
  • Level set method for edge detection of SAR images of airport roads
  • Level set method for edge detection of SAR images of airport roads

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0032] Step 1, input the SAR image, and perform median filtering and brightness transformation on the image in turn to obtain the result after image enhancement.

[0033] Step 2. Manually select an initialization seed point on the enhanced image, obtain the corresponding position coordinates (x, y) of the seed point in the image, and start region growth from the initialization seed point.

[0034] (2a) Compare the gray value of the point that is within the 8 neighborhood of the seed point and has not yet grown with the gray value mean of the grown region, and the gray value of the point that is greater than the gray value mean region_mean of the grown region Put the value into u_list, and put the gray value of the point that is smaller than the average gray value of the grown area into l_list, and get the coordinates of the point with the smallest difference between the nei...

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 level set based method for edge detection of SAR images, which mainly overcomes the defect that the existing methods for edge detection of SAR images can not well suppress the impacts of speckle noises. The method comprises the following steps: (1) inputting the SAR images and carrying out median filtering and brightness transform in sequence to obtain the enhanced images; (2) manually selecting initialized seed points on the enhanced images and beginning area growth; (3) carrying out morphological close operation and removal operation on the area growth result in sequence to obtain the edge profile of the smoothened destination area; (4) obtaining a level set evolved initialized zero level set according to the edge profile of the destination area, which is obtained through area growth; and (5) carrying out level set evolution until the preset iterative evolution frequency is met to obtain the final edge profile of the destination area. The method can effectively overcome the impacts of speckle noises of the SAR images on edge detection, is accurate in edge detection and can be used for edge detection of the SAR images of airport runways and roads.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to image edge detection, in particular to a level set-based SAR image airport road edge detection method, which can be used for edge detection of synthetic aperture radar images. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar. SAR has all-weather, multi-polarization, multi-view, multi-depression angle data acquisition capabilities and the ability to penetrate some ground objects, so it is not only widely used in military, but also in agriculture, meteorology, topography, disaster monitoring and other civil applications. There are also tons of applications. However, since SAR emits coherent waves, these coherent waves undergo coherent effects with ground objects, especially the backscattering effect of ground objects, which causes the target echo signal to attenuate. This attenuation is manifested in the image as coherent speckl...

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
IPC IPC(8): G06T7/00G06K9/46
Inventor 焦李成侯彪杨博学刘芳钟桦王爽
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