Image registering method in real number coding based clonal selection algorithm

A clone selection algorithm and image registration technology, which is applied in image analysis, image data processing, calculation, etc., can solve the problems of high computational complexity and easy premature convergence, so as to save encoding and decoding steps, achieve accurate results, and expand The effect of the search space

Active Publication Date: 2015-12-23
XIDIAN UNIV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its disadvantage is that the calculation complexity is high, it is easy to converge prematurely, and it is easy to fall into local optimum

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 registering method in real number coding based clonal selection algorithm
  • Image registering method in real number coding based clonal selection algorithm
  • Image registering method in real number coding based clonal selection algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] refer to figure 1 , the implementation steps of the present invention are as follows:

[0043] Step 1, input the reference image and floating image;

[0044] Step 2, antibody population initialization: Based on the determined antigen, some antibody populations are randomly generated, A represents the antibody set, and the antibody set A is composed of the temporary antibody set A r and memory antibody set A m Composition, N=r+m, r represents the temporary antibody set A r The number of temporary antibodies in , m represents the memory antibody set A m The number of memory antibodies in , N is the total number of antibodies in antibody set A;

[0045] Step 3, use A to represent the reference image imageR and B to represent the floating image imageS to construct a normalized mutual information function MI(A,B) as the objective function:

[0046] MI ( A , B ) = ...

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 registering method in a real number coding based clonal selection algorithm, and mainly solves the problem that the image registering accuracy is not high due to the fact that function optimization tends to local optimization in the prior art. The method comprises the steps that (1) a reference image and a floating image are input; (2) an antibody population is initialized in a real number coding method; (3) a normalized mutual information function is constructed and serves as an objective function; (4) the affinity of population antibodies is calculated; (5) selection, clone and variation are carried out on the antibodies; (6) a memory antibody set is formed; (7) the antibodies are memorized; (8) whether a termination condition is reached is determined, if no, the step (4) is returned to, and otherwise, a step (9) is turned to; and (9) an image is registered by utilizing the optimal antibody, and a result is output. The mutual information function is optimized in the real number coding based clonal selection algorithm, the problem that function optimization tends to local optimization in the prior art is solved, and the image registering accuracy is improved.

Description

technical field [0001] The invention belongs to the field of image registration and relates to an optimization method of an objective function, in particular to an image registration method based on a clone selection algorithm. Background technique [0002] As a very important research topic, image registration technology has been widely used in computer vision, pattern matching, medical image analysis and remote sensing image processing. Due to the continuous emergence of new sensors, people's ability to acquire images is rapidly improving. New sensors have various characteristics, so different types of remote sensing images are constantly increasing. In view of the obvious differences in various aspects such as spectral information, geometric size and time sequence when the sensor obtains image information, it is difficult to use a single image information to meet the actual situation. In order to better obtain all kinds of information of different images and obtain high...

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
Inventor 马文萍焦李成付小东马晶晶熊涛刘红英其他发明人请求不公开姓名
Owner XIDIAN 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