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

Endoscope multi-focus image fusion method

An image fusion and multi-focus technology, applied in the field of image processing, can solve problems such as poor imaging quality of endoscopes, achieve consistent image tone and brightness, eliminate plaque effect, and reduce the amount of calculation.

Active Publication Date: 2022-04-29
THE AFFILIATED HOSPITAL OF QINGDAO UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the technical problem of poor endoscope imaging quality caused by the defects of the image acquisition equipment itself or the poor image acquisition environment in the prior art, the present invention proposes an endoscope multi-focus image fusion method for improving endoscope acquisition output image quality

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
  • Endoscope multi-focus image fusion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] This embodiment proposes an endoscope multi-focus image fusion method, such as figure 1 shown, including:

[0063] In the image acquisition step, images are acquired at different focal lengths to obtain multiple original images.

[0064] First, use the endoscope to collect images at different focusing distances, and use the point feature extraction method to extract the feature points of each image to obtain the feature description of the feature points.

[0065] In the feature point extraction step, the feature points of each original image are respectively extracted.

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 endoscope multi-focus image fusion method, which belongs to the technical field of image data processing, and comprises the following steps: an image acquisition step: respectively acquiring images under different focal lengths to obtain a plurality of original images; a feature point extraction step of respectively extracting feature points of each original image; a feature matching step: obtaining a matching point pair between every two original images; determining a reference image, namely searching the reference image; an image correction step: correcting all the original images to the plane of the reference image to obtain a plurality of corrected images; a light and color uniformizing processing step: obtaining a corrected image after light and color uniformizing; and an image fusion step: carrying out fusion processing on the corrected image after uniform light and uniform color to obtain a fused image. According to the multi-focus image fusion method for the endoscope, the image containing the clear positions of all the collected images is obtained by fusing the collected images with different focusing distances, and a user can conveniently observe the images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an endoscope multi-focus image fusion method. Background technique [0002] As a detection instrument based on image sensors, endoscopes can see lesions that cannot be displayed by X-rays, and are widely used in the medical field. Most of the existing endoscope photosensitive devices are CCD or CMOS, and the imaging principle is pinhole imaging, and the clear range of imaging is limited by the depth of field. [0003] In addition, when performing imaging in some organs of the human body with an endoscope, it is necessary to find specific pathological areas. However, since the intestinal tract in the human body is always in a state of peristalsis, the image resolution of the captured pathological areas will be extremely low, and even with the The peristalsis of the intestinal tract, the pathological area cannot be kept in the middle of the image, which is not...

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): G06T5/50G06T5/00G06T7/90
CPCG06T5/50G06T7/90G06T2207/10068G06T2207/20221G06T5/90
Inventor 于腾波马金龙王辰陈进利付海涛王晓南王坤
Owner THE AFFILIATED HOSPITAL OF QINGDAO UNIV
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