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

Multi-field-depth scene defocusing sequence diagram quality evaluation method

A technology of quality evaluation and sequence diagram, which is applied in the field of quality evaluation of defocus sequence diagram of multi-depth scenes, can solve problems such as inability to obtain parallax information of scene objects, achieve high practical value, good unbiasedness, avoid double peaks and multiple peak effect

Inactive Publication Date: 2017-05-31
ZHEJIANG UNIV
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Monocular vision is divided into focusing method and defocusing method, both of which use two or more images for depth estimation. For the depth estimation of the autofocus system, the parallax information of the scene target cannot be obtained, and only a single image Depth estimation of features present in

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
  • Multi-field-depth scene defocusing sequence diagram quality evaluation method
  • Multi-field-depth scene defocusing sequence diagram quality evaluation method
  • Multi-field-depth scene defocusing sequence diagram quality evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention is a quasi-focus quality evaluation method aimed at the phenomenon of multiple depths of field in the shooting scene. The foreground image is obtained through the method of single image depth estimation combined with superpixel segmentation, and the foreground template is obtained through morphological binarization and expansion means. , which solves the problem of double peaks or even multiple peaks in the evaluation function curve caused by shooting scenes with multiple depths of field. Finally, the evaluation function curve obtained by using the foreground template to act on the defocus sequence diagram has good unbiasedness, unimodality, sensitivity and stability, and has a wide range of applications and high practical value.

[0033] Describe in detail below in conjunction with accompanying drawing and example:

[0034] figure 1 It is a simple flow chart of the method of the present invention. The present invention will be further described ...

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 multi-field-depth scene defocusing sequence diagram quality evaluation method. According to the method, a foreground of an automatic focusing scene is extracted automatically through defocusing depth estimation and superpixel segmentation, drifting of a photographic field in an image due to camera lens movement in a focusing process is avoided through combination of morphological binarization and dilation, and an obtained foreground template acts on a defocusing sequence, so that an obtained evaluation function curve is excellent in representation performance and high practical value is created.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a quality evaluation method for multi-depth scene defocus sequence images. Background technique [0002] With the rapid development of digital image and multimedia technology, there are more and more various types of optical imaging systems, various imaging devices are gradually becoming automated and intelligent, and autofocus technology is more and more widely used in optical imaging systems. Among the automatic focusing methods based on digital image processing, active focusing and passive focusing are typical. Active focusing needs to add an additional ranging system to the system, which increases the cost and complexity of the system. At the same time, for scenes with glass or occluded objects, there will be problems with ranging. Therefore, active focusing technology is slowly Superseded by autofocus technology. Passive focusing is to judge the degree of defocus by an...

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): G06T7/00G06T7/194
CPCG06T7/0002G06T2207/10004G06T2207/20024
Inventor 冯华君王烨茹徐之海李奇陈跃庭
Owner ZHEJIANG 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