Robust automatic image salient region segmenting method

An automatic segmentation and superpixel segmentation technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of operator's subjective influence and inflexibility

Active Publication Date: 2015-07-29
SHANDONG SYNTHESIS ELECTRONICS TECH
View PDF2 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, this method is not flexible enough and is easily influenced by the operator's subjective

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
  • Robust automatic image salient region segmenting method
  • Robust automatic image salient region segmenting method
  • Robust automatic image salient region segmenting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0056] Such as figure 1 As shown in the flow chart, the present invention comprises the following steps:

[0057] Step (1): Input the original image, perform superpixel segmentation on the original image, and record the relevant situation of the superpixel;

[0058] Step (2): For the image segmented in step (1), calculate the geodesic distance of each superpixel;

[0059] Step (3): Using the geodesic distance of each superpixel obtained in step (2) to calculate the generation area of ​​each superpixel;

[0060] Step (4): Calculate the boundary length of each superpixel using the generated area of ​​each superpixel obtained in step (3);

[0061] Step (5): use the results of step (3) and step (4) to calculate the boundary connectivity value of each superpixel; enter step (7);

[0062] Step (6): Carry out saliency detection to the original image to obt...

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 robust automatic image salient region segmenting method. The robust automatic image salient region segmenting method includes the steps of firstly, subjecting an image to superpixel segmenting to obtain geodesic distances, generating regions, boundary length and boundary communication values of image superpixels; secondly, subjecting an original input image to superpixel segment by an HSLIC (hexagonal simple linear iterative clustering) method, performing overall saliency detection by an SC (superpixel contrast) method to obtain a salient image of the image; finally, adopting the boundary communication values and a saliency value of the salient image, performing image segmenting and outputting a salient region segmenting result of the image. The robust automatic image salient region segmenting method has the advantages that the boundary communication values, the image saliency value and the image segmenting method are combined, and the image salient region segmenting result can be obtained by the aid of an automatic image segmenting technology.

Description

technical field [0001] The invention is mainly used in the technical field of image processing and target recognition, and is specifically a robust automatic segmentation method for image salient regions. Background technique [0002] The detection of image salient regions is an important research direction in the field of image processing. Image salient regions are often the most attention-getting parts, which contain most of the information of an image. Therefore, it has a wide range of application backgrounds. Generally, it can be used in the fields of object recognition, image segmentation, adaptive compression, image retrieval, etc. An effective detection method of image salient regions is of great help to the development of these fields. [0003] At present, there are many different salient region detection methods, which are mainly divided into two general directions: methods based on local contrast and methods based on global contrast. The method based on local cont...

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
CPCG06T2207/10004
Inventor 周元峰王闪闪
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap