Method for improving image segmentation effects by using wavelet fusion algorithm

A technology of image segmentation and fusion algorithm, which is applied in the field of image processing, can solve the problems of incomplete segmentation target and unclear segmentation of image details, and achieve the effect of clear details and complete target area

Active Publication Date: 2014-07-02
GUIZHOU UNIV
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when the classic OTSU algorithm and the bimodal method perform target segmentation on the image

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
  • Method for improving image segmentation effects by using wavelet fusion algorithm
  • Method for improving image segmentation effects by using wavelet fusion algorithm
  • Method for improving image segmentation effects by using wavelet fusion algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Embodiments of the present invention: utilize wavelet fusion algorithm to improve the method for image segmentation effect, such as figure 1 Shown:

[0035] 1) Input a color image, denoted as f, color image f Convert to grayscale image f g , and compute the grayscale image f g The gray value of; the gray image f g Such as image 3 shown;

[0036] 2) Using the OTSU algorithm for grayscale images f g Segment and find the grayscale image f g The image segmentation result of f g1 ;

[0037]

[0038] 3) Use the bimodal algorithm to process the grayscale image f g Segment and find the grayscale image f g The image segmentation result of f g2 ;

[0039] Bimodal Image Algorithm for Grayscale Images f g The principle of segmentation is: use the characteristics of the gray histogram of the image to determine the segmentation threshold of the image, and use the difference between the target area and the background area of ​​the image to form two corresp...

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 improving image segmentation effects by using a wavelet fusion algorithm. Through the novel method that after image segmentation is carried out on images through an OTSU algorithm and a two-peak method respectively, wavelet fusion is carried out on image segmentation results obtained through the OTSU algorithm and the two-peak method by using the wavelet fusion algorithm, target areas obtained through the segmentation are made to be more complete and clearer in detail.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for improving image segmentation effect by using wavelet fusion algorithm. Background technique [0002] Image segmentation is defined as separating different regions with special meaning in the image, and each region satisfies the consistency of certain characteristics. In image research and related applications, people are often interested in some parts of the image, which are called objects, and they usually correspond to some specific regions with unique properties in the image. In order to identify and analyze targets, they need to be separated from the background and extracted, which is image segmentation. [0003] Among many image segmentation algorithms, the threshold method is the most commonly used image segmentation method. There are more than a dozen threshold selection methods, the most representative ones are the P-tile method, the bimodal method,...

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
IPC IPC(8): G06T7/00
Inventor 刘紫燕祁佳徐跃州毛品莉帅暘唐思腾冯亮罗超
Owner GUIZHOU UNIV
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