Image adaptation method based on edge vision protection

An edge and image technology, applied in the field of image adaptation based on edge vision protection, can solve problems such as low efficiency and inability to fundamentally enhance the effect

Active Publication Date: 2020-02-28
石家庄邮电职业技术学院
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The multi-operation adaptation method is to comprehensively use line clipping, uniform scaling, uniform clipping and other methods to achieve relatively good results when a single method fails in a specific order and quantity. The efficiency is low and the effect cannot be fundamentally enhanced

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
  • Image adaptation method based on edge vision protection
  • Image adaptation method based on edge vision protection
  • Image adaptation method based on edge vision protection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0088] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0089] refer to figure 1 ,like figure 1 As shown, an image adaptation method based on edge vision protection, including the following steps:

[0090] S1, calculate the importance map: calculate the weighted importance map according to the gradient map, saliency map, and edge lines;

[0091] S2, optimize the energy map: take the importance map as the basic energy map, on this basis, use the visual characteristics of the inclination and curvature of the line to optimize the energy map;

[0092] S3, line clipping and adaptation: according to the optimized energy map, perform forward line clipping o...

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 image adaptation method based on edge visual protection. The method comprises the following steps: S1, calculating an importance degree graph: calculating a weighted importance degree graph according to a gradient graph, a saliency degree graph and an edge line; S2, optimizing the energy diagram: taking the importance diagram as a basic energy diagram, and optimizing theenergy diagram by utilizing the visual characteristics of the inclination degree and the bending degree of the lines on the basis of the importance diagram; and S3, realizing line cutting adaptation:performing forward line cutting operation according to the optimized energy diagram to realize image adaptation. On the premise of ensuring the display effect of the significant object, the continuity and fluency of the edge and the contour are improved by keeping the shape of the edge contour of the non-significant area.

Description

technical field [0001] The invention relates to an image adaptation method, in particular to an image adaptation method based on edge vision protection. Background technique [0002] At present, with the rapid development of computer-aided diagnosis technology, a variety of medical imaging technologies have appeared clinically to obtain medical images of human internal tissues and organs, such as computed tomography (CT), nuclear magnetic resonance imaging (NMRI), medical ultrasound Imaging (UI), etc. However, the pixels of these medical images are fixed or set only once, causing the images to be displayed on different display devices (such as computer screens, projectors, laptops, tablets, smartphones, etc.) to be adjusted to accommodate different resolutions and display properties such as aspect ratio. The process of image adjustment is also called image redirection or image display adaptation. Traditional image adaptation methods mainly include uniform scaling and dire...

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): G06T7/33G06T7/11G06T7/13G06T7/181G06T7/00G06T5/00
CPCG06T7/33G06T7/11G06T7/13G06T7/181G06T7/0012G06T5/002G06T2207/20132G06T2207/20024G06T2207/30004
Inventor 刘庆芳刘海云王月春李冀东刘涛
Owner 石家庄邮电职业技术学院
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