Method for detecting salient object in image based on inter-area difference

A detection method and image technology, applied in the fields of computer vision and image processing

Inactive Publication Date: 2012-06-20
SHANGHAI UNIV
View PDF1 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014]In the overview, the existing salient object detection methods need to set corresponding parameters for various saliency models in order to achieve accurate detection of salient objects, which affects the Wide application of object detection

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
  • Method for detecting salient object in image based on inter-area difference
  • Method for detecting salient object in image based on inter-area difference
  • Method for detecting salient object in image based on inter-area difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0071] The simulation experiment carried out by the present invention is programmed on a PC test platform with a CPU of 2.53GHz and a memory of 1.96GB.

[0072] Such as figure 1 As shown, the detection method of the salient object in the image based on the inter-regional difference of the present invention is described by the following steps:

[0073] (1), input the original image, such as figure 2 (a), calculate the saliency map of the original image, the specific steps are as follows:

[0074] (1-1), use the mean shift algorithm to divide the original image into several regions;

[0075] (1-2), Calculate the color similarity between each pixel in the image and each area, the calculation formula is:

[0076] (1)

[0077] in, Indicates the first area, Indicates the area divided into The number of pixels in ...

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 method for detecting a salient object in an image based on inter-area difference. The method specifically comprises the following steps of: (1) inputting an original image and calculating a saliency map of the original image; (2) calculating and modifying the saliency map; and (3) updating the saliency map through iteration and finding a target rectangle in the greatest difference from the external area, wherein the image content of the internal area of the target rectangle is the detected salient object. The method can accurately detect the salient object in the image without setting any parameter.

Description

technical field [0001] The invention relates to the technical fields of computer vision and image processing, in particular to a method for detecting salient objects in an image based on regional differences. Background technique [0002] Research results in psychology and perceptual science have shown that when people observe an image, they do not pay equal attention to each area of ​​the image, thus producing a saliency map corresponding to the degree of attention. In most cases, when people observe an image, they focus on a certain area of ​​the image, which is called salient object. In other words, salient objects get higher attention than other regions of the image. If salient objects can be detected, it can provide great help to many applications such as salient object recognition, image adaptation, image compression, and image retrieval. The salient object detection method is applied in this background, and it aims to detect the salient objects in the image accurate...

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): G06K9/00G06K9/46
Inventor 史冉刘志杜欢
Owner SHANGHAI 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