Method for extracting eyebrow area

An extraction method and technology of eyebrows, applied in the field of extraction of eyebrow area, can solve the problem of not realizing accurate extraction of eyebrow area, and achieve the effect of reducing the influence of extraction and achieving accurate extraction

Inactive Publication Date: 2013-02-13
SHANDONG SYNTHESIS ELECTRONICS TECH
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method effectively reduces the influence of light, it also fails to achieve accurate extraction of the eyebrow area.

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Here, the technical solutions in the embodiments of the present invention are described clearly and completely, in the hope that those skilled in the art will not need to pay creative efforts to solve the above technical problems when facing the same or corresponding technical problems, and the resulting extended The scheme should also fall within the protection scope of the present invention.

[0027] In order to make those skilled in the art understand more clearly, the relevant embodiments are shown below in the form of a tree structure:

[0028] Based on the basic purpose of accurately extracting the eyebrow area while effectively reducing the impact of illumination, the eyebrow area extraction method adopted is described as follows, and the content after the semicolon in the following content is the analysis or further limitation of the previous content:

[0029] 1. Receive the user's original face photo; the original face photo can be initially provided as a face ...

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 method for extracting eyebrow areas. The method comprises the following steps: 1) graying a face image to be identified; 2) segmenting the image in accordance with the rule that the face is divided into three equal parts in length and into five parts in width, so as to primarily select the left and right eyebrow areas; 3) calculating the differences of the each row of adjacent pixel points of the primarily selected left and right eyebrow areas in sequence, and generating a difference curve of the gray value; 4) taking the maximum value and the minimum value of the difference curve of each row as the upper side edge and the lower side edge of corresponding eyebrows; and 5) gathering the upper side edge and the lower side edge, and extracting the eyebrow areas from the primarily selected left and right eyebrow areas according to the upper side edge and the lower side edge of the eyebrows. According to the method, the eyebrow area can be precisely extracted while the lighting influence is effectively reduced.

Description

[0001] technical field [0002] The invention relates to a method for extracting the eyebrow region. Background technique [0003] Eyebrows are an important feature in face recognition. Compared with other features of the face, eyebrows have better stability and anti-interference, and eyebrows are less affected by expressions. At the same time, human eyebrows have a variety of shapes, no fixed structure, and have good identity specificity, which plays an important role in face recognition. [0004] To apply eyebrows to face recognition, an important step is the segmentation of the eyebrow region. Image segmentation is a classic problem in image processing. At present, the commonly used automatic image segmentation methods include: threshold method, clustering method and edge detection and other methods. However, these image segmentation methods are greatly affected by factors such as illumination, so they often cannot obtain the desired segmentation results. [0005] Mao ...

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): G06K9/00G06K9/52
Inventor 刘辰飞许野平方亮曹杰张传锋
Owner SHANDONG SYNTHESIS ELECTRONICS TECH
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