Unlock instant, AI-driven research and patent intelligence for your innovation.

Image layer spectrum segmentation method based on structural information principle

A technology of structure information and layer spectrum segmentation, applied in image analysis, image data processing, neural learning methods, etc.

Pending Publication Date: 2022-07-22
BEIHANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current unsupervised image segmentation algorithm cannot get rid of artificially selected parameters, and the image segmentation results are affected by the parameters

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 layer spectrum segmentation method based on structural information principle
  • Image layer spectrum segmentation method based on structural information principle
  • Image layer spectrum segmentation method based on structural information principle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention is further described below with reference to the accompanying drawings.

[0045] In this example, see figure 1 As shown, the present invention proposes an image layer spectral segmentation method based on the principle of structural information, including the steps:

[0046] Preprocess the original image;

[0047] Based on the principle of one-dimensional structure entropy maximization, the graph structure data G of the preprocessed image is constructed * ;

[0048] In the first segmentation stage, the graph structure data G of the preprocessed image * Executes the entropy minimization algorithm for two-dimensional structures on ε 2 , get the graph G * The optimal partition structure of X={X 1 , X 2 ,...,X n }, where n is the graph G * the number of optimal partition structures;

[0049] Generate graph structure data G of partition struct...

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 layer spectrum segmentation method based on a structure information principle, and the method comprises the steps: constructing image structure data G * of a preprocessed image based on a one-dimensional structure entropy maximization principle; executing a two-dimensional structure entropy minimization algorithm on the graph structure data G * of the preprocessed image to obtain an optimal division structure of the graph G *; generating graph structure data G * * of the division structure X; a two-dimensional structure entropy minimization algorithm is executed on the graph G * * to obtain an optimal division structure Y of the graph G * *, and all nodes in the Y correspond to the division structure X; converting the division structure Y into a division structure Z by utilizing the division structure X, and constructing a structure of a three-dimensional coding tree; all nodes in the Z correspond to pixel points of the image. According to the method, the layer spectrum abstract segmentation problem of the image is solved, the local detail layer can perform precise segmentation on the image, the global structure layer can extract the structure of the image, and region segmentation can be performed on the image without selecting parameters.

Description

technical field [0001] The invention belongs to the technical field of image segmentation, and in particular relates to an image layer spectral segmentation method based on the principle of structural information. Background technique [0002] Traditional unsupervised image segmentation algorithms mainly include threshold-based, edge-based, graph theory-based and cluster-based algorithms. The threshold-based image segmentation algorithm is suitable for images with a large difference between the gray level of the segmentation target and the background. It is difficult for edge-based image segmentation algorithms to form closed and connected regions. Even if closed and connected regions are formed, they are usually processed again in combination with other algorithms. Traditional image segmentation algorithms based on graph theory usually compose images through four or eight connections, consider the correlation between local pixels, and segment spatially connected pixels tog...

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): G06T7/00G06T7/11G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06N3/08G06T2207/20021G06T2207/20081G06T2207/20084G06N3/045
Inventor 李昂生王子旋彭浩胡琎邹东成刘琳冼俊宇
Owner BEIHANG UNIV