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

Method and system for filtering elongated features

A filter and filter kernel technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as numerical instability

Inactive Publication Date: 2009-05-27
KONINK PHILIPS ELECTRONICS NV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] The drawback of this technique is that elongated directional filters can only be obtained by choosing a class of steerable filters with higher-order M-derivatives in the previous equation
However, it is well known that higher derivatives lead to numerical instability

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
  • Method and system for filtering elongated features
  • Method and system for filtering elongated features
  • Method and system for filtering elongated features

Examples

Experimental program
Comparison scheme
Effect test

no. 2 example

[0065] refer to Figure 4B And according to the second embodiment of the present invention, the method further includes the step of: analyzing the second neighborhood V of the input image at the second image point2 within a number of brightness levels to calculate IP at the second image point 2 The second filtering direction θ on 2 . As mentioned above, this analysis is performed using known image processing techniques, eg by applying gradient operators to the input image.

[0066] Therefore, the second steerable filter kernel K 2 The contribution to this linear combination has the effect that the curved features CF present in this image extend the first steerable filter kernel K in the direction at the second image point 1 . The result: a curved elongated filter K is designed that more closely matches the local brightness of the image and yields greater feature enhancement results for elongated curved features CF.

[0067] refer to Figure 4C And according to the third ...

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 present invention relates to a method of filtering an input image for producing an output image. The method comprising the steps of, for a first image point located at first spatial coordinates:-analysing intensity levels of the input image in a first vicinity of the first image point for calculating a first direction of filtering at said first image point;-computing an intensity level of a first output image point of a first output image by applying a first steerable filter kernel to the input image, which is centered at the first image point and oriented along the calculated first direction of filtering; selecting at least a second image point in a second vicinity of said first image point in the first output image;-computing an intensity level of at least one second output image point of a second output image by applying at least a second steerable filter kernel to the input image, which is centered at the at least second image point and oriented along a second direction of filtering;-calculating a linear combination of the first output image point and of the at least second output image point for providing an output intensity level;-applying said output intensity level to an output image point of said output image, said output image point having said first spatial coordinates.

Description

technical field [0001] The present invention relates to a method for filtering an input image by using an elongated filter. The invention also relates to a system for filtering an input image, said system performing said method. The invention finally relates to a computer program for carrying out the method. [0002] The invention finds application in the general field of image processing for enhancing elongated features, in particular in the field of medical image processing for detecting guide wires introduced in a patient's body. Background technique [0003] In medical image processing, it is often necessary to enhance elongated features, such as blood vessels, ribs, and urinary catheters. To this end, several techniques have been developed to design oriented filters. [0004] In the document titled "The Design and Use of Steerable Filters" by W. Freeman and E. Adelson published in IEEE Transactions on Pattern Analysis ans Machine Intelligence, Volume 13(9), Pages 891...

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): G06T5/20
CPCG06K2209/057G06T5/20G06K9/4619G06V10/449G06V2201/034
Inventor R·弗洛朗C·萨姆森
Owner KONINK PHILIPS ELECTRONICS NV
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