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

Tubular object segmentation method, device and equipment

A tube and edge point technology, applied in the field of image processing, can solve problems such as the optimal path is not, to achieve the effect of improving accuracy

Active Publication Date: 2016-06-01
NEUSOFT CORP
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since zero-crossing points are sensitive to noise, many edge images obtained from zero-crossing points are false edges, and the pulling effect of false edges may make the optimal path not a real edge

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
  • Tubular object segmentation method, device and equipment
  • Tubular object segmentation method, device and equipment
  • Tubular object segmentation method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Embodiments of the present invention provide a tubular object segmentation method, device and equipment, which effectively improve the accuracy of tubular object segmentation.

[0033] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0034] see figure 1 , is a schematic flowchart of a tubular object segmentation method provided by an embodiment of the present invention. Such as fig...

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 embodiment of the invention provides a tubular object segmentation method, device and equipment. The method comprises the steps that path coordinate information of a tubular object to be segmented is acquired, and local grayscale range and a target candidate area corresponding to the tubular object are determined according to the path coordinate information; edge detection is performed on the tubular object in the target candidate area so that edge information and gradient information are acquired; the key edge points of the tubular object are determined according to the edge information, the gradient information and the local grayscale range; and an optimal path between the key edge points is searched according to the key edge points so as to determine the border of the tubular object. Segmentation accuracy of the tubular object can be effectively enhanced by the tubular object segmentation method, device and equipment.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a tubular object segmentation method, device and equipment. Background technique [0002] In the technical field of image processing, it often involves the segmentation of tubular objects in two-dimensional images. For example, in angiography (English full name is Digital Subtraction Angiography, English abbreviation is DSA) images to extract the cardiovascular with diseased parts, and analyze the stenosis of the extracted cardiovascular, which is helpful for doctors to diagnose cardiovascular diseases. [0003] In the prior art, as in the DSA image, there are usually two ways to segment the tube. One is fully automatic segmentation and the other is interactive segmentation. Fully automatic segmentation generally operates on full-frame images, and generally uses the maximum entropy threshold method, template matching tracking method, etc. Interactive segmentat...

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
CPCG06T2207/30101
Inventor 蔡金凤郑凌
Owner NEUSOFT CORP
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