Object significance detecting method based on color contrast and color distribution

A technology of color distribution and color contrast, applied in the field of image processing, can solve problems such as unsatisfactory detection results, and achieve the effect of suppressing background interference and improving edge details

Active Publication Date: 2013-06-05
SHANGHAI JIAO TONG UNIV
View PDF4 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since this method only considers the color contrast, its final saliency map may contain a lot of background interference, and it cannot obtain satisfactory detection results on images with complex background textures.

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
  • Object significance detecting method based on color contrast and color distribution
  • Object significance detecting method based on color contrast and color distribution
  • Object significance detecting method based on color contrast and color distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0042] This embodiment provides an object saliency detection method based on color contrast and color distribution. For parts not described in detail in this embodiment, reference may be made to the description in the Summary of the Invention.

[0043] In this embodiment, for an input image, the resolution is first proportionally adjusted to a maximum value of 400 pixels in length and width to speed up the processing speed, and then the processing is performed according to the following detailed st...

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 provides an object significance detecting method based on color contrast and color distribution. The steps of the object significance detecting method based on the color contrast and the color distribution include that S1: an input image is divided into small size super-pixels, average color and position in the super-pixels are calculated; S2: the center-periphery color contrast of each super-pixel is calculated, the color contrast value is multiplied by a priori distribution, and at last color contrast significance diagram is obtained by using a significance smooth operation; S3: color distribution variance of each super-pixel is calculated, and thereby a color distribution significance diagram is obtained; S4: the color distribution significance diagrams obtained by the S2 and the S3 are multiplied and refined by using MeanShift division, edges of an object are enabled to be more fine, and the final significance diagram is output. According to the object significance detecting method based on the color contrast and the color distribution, the significance diagram obtained can evenly highlight the significant object in the significance diagram, the edge details of the object are well retained, the background interference is restrained, and the following up processes such as the target object division are benefited.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an object saliency detection method based on image color contrast and color distribution. Background technique [0002] Research on the human visual selective attention mechanism has always been a topic of great interest, because this visual selection mechanism allows us to focus various computing resources on the most valuable information. Detecting salient objects in images is an important aspect in this field, which has a wide range of applications in automatic object localization and segmentation, image retrieval, and content-based image scaling. The result of the saliency detection is called the "saliency map", and the brighter the area on the map, the easier it is to attract people's attention. Saliency detection methods can generally be divided into two categories: bottom-up and top-down. The bottom-up saliency detection method simulates the human instin...

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): G06T7/40
Inventor 傅可人杨杰
Owner SHANGHAI JIAO TONG 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

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