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

Pupil segmentation method based on multiple threshold values

A multi-threshold, pupil technology, applied in the field of computer vision, can solve the problem of not being able to quickly and accurately segment the pupil, and achieve the effect of fast segmentation and improved accuracy

Inactive Publication Date: 2016-08-31
CHONGQING UNIV
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solve the problem that the pupil cannot be divided quickly and accurately in the prior art

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
  • Pupil segmentation method based on multiple threshold values
  • Pupil segmentation method based on multiple threshold values
  • Pupil segmentation method based on multiple threshold values

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0048] The present invention provides a kind of pupil segmentation method based on multi-threshold, which comprises the following steps:

[0049] S1, preprocessing: obtain the grayscale image of the image to be processed, such as figure 1 As shown in (a), the specific method for obtaining the grayscale image can be an existing method; then the grayscale image is histogram equalized (also using the prior art), and the image is enhanced, such as figure 1 As shown in (b), it can be seen from the figure that after histogram equalization, th...

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 pupil segmentation method based on multiple threshold values, comprising steps of pre-processing, choosing a candidate threshold value, segmenting an eye and segmenting a pupil. The pupil segmentation method based on multiple threshold values performs processing and segmentation on pupils of eyes in different states, improves accuracy of positioning the pupil, and has a wide application prospect in multiple fields like medical detection, psychological evaluation, man-machine interaction, handicapped assistance, etc.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method for rapidly and accurately dividing pupils based on the fusion of multiple thresholds and information entropy. Background technique [0002] The gaze tracking system is a technology that uses a camera to capture images of the human eye in real time, and then accurately locates and tracks the center of the eye pupil in the image, thereby realizing human-computer interaction with the computer using the gaze. As a very convenient and natural way of communication, the system is widely used in various fields. In the eye-tracking system, the segmentation and positioning of the pupil is the core, and its accuracy will directly affect the accuracy of eye-tracking. [0003] At present, there are many methods for pupil segmentation and positioning, such as template matching method, projection integral method, and method using color domain. Among them, the template matchi...

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
CPCG06T2207/10004G06T2207/30041
Inventor 文静陈默涵朱宇房斌
Owner CHONGQING 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