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

Image segmentation method, system and medium based on image feature density peak search

A density peak and image feature technology, applied in the field of image processing, can solve the problems of not being able to adaptively select the clustering center and relying on human intervention, so as to achieve the effect of saving algorithm costs and fast calculation speed

Active Publication Date: 2021-05-04
SHANDONG NORMAL UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this algorithm lacks a further method to specify the cluster center, and still relies on human intervention, so it cannot achieve adaptive selection of the cluster center
[0005] Therefore, the current technical problems are: how to perform efficient and accurate clustering segmentation without prior knowledge, how to realize the adaptive clustering and segmentation

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 segmentation method, system and medium based on image feature density peak search
  • Image segmentation method, system and medium based on image feature density peak search
  • Image segmentation method, system and medium based on image feature density peak search

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0059] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0060] Such as figure 1 As shown, the image segmentation method based on image feature density peak search mai...

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 segmentation method, system and medium based on image feature density peak search. The method combines a novel clustering algorithm with image features to realize image segmentation. It is mainly divided into the following key parts: image preprocessing, feature value extraction, variable solution and utilization in cluster analysis, and the realization of adaptive selection of cluster centers. First, the original image in units of pixels is roughly divided into color block diagrams in units of superpixels, and cluster analysis is performed by extracting these color blocks as sample points. After the cluster analysis results are obtained, a function is constructed to select the cluster center , and finally return the superpixel sequence to a pixel sequence, and get the final result of clustering according to the index and number. Thus, the cluster-based segmentation is completed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image segmentation method, system and medium based on image feature density peak search. Background technique [0002] In the environment of information explosion, images, as an important carrier of information transmission, storage and expression, are one of the important means for human beings to obtain information. People hope to extract and utilize information on pictures more efficiently, so image processing technology emerges as the times require. Among them, image segmentation is a key link in image processing and image analysis, and it is also a classic problem. Image segmentation technology is the technology and process of dividing an image into multiple regions with different characteristics and extracting objects of interest, in order to provide a basis for subsequent detailed digital image processing. In order to better identify and process the target in the image...

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 Patents(China)
IPC IPC(8): G06T7/11G06T7/90G06K9/46G06K9/62
CPCG06T7/11G06T7/90G06V10/56G06F18/2321
Inventor 郑元杰孙喆连剑戚萌贾伟宽
Owner SHANDONG NORMAL 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