Label adding method based on image content

An image content and label technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as affecting viewing experience, not determining the location of user labels, destroying the coverage of image structural features, etc., to achieve simple, intuitive and efficient. The method of adding image tags, reducing the visual loss of images, and improving the effect of visual experience

Inactive Publication Date: 2012-04-25
ZHEJIANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, the human eye can easily capture these overlays that destroy the structural characteristics of the image, which greatly affects the viewing experience.
So far, there is no algorithm specifically for determining the location of user tags based on image content.

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
  • Label adding method based on image content
  • Label adding method based on image content
  • Label adding method based on image content

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0021] Such as figure 1 As shown, a labeling method based on image content, including:

[0022] (1) The image to be processed is converted from the RGB color space to the CIE-Lab color space;

[0023] The RGB color space is converted to the CIE-Lab color space according to the following formula:

[0024] L = 0.299 × R + 0.587 × G + 0.114 × B a = 0.713 × ( R ...

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 label adding method based on image content, which comprises the steps of: transforming an image to be processed from RGB (Red, Green and Blue) color space to CIE-Lab color space; obtaining the visual importance of each pixel of the image transformed to the CIE-Lab color space; obtaining the mask bitmap information of a label to be added by the rasterization processing ofthe label; seeking a region with least visual importance loss in the image; adding the label to be added to the sought region with the least visual importance loss; and finishing the adding operationof the label of the image. The invention overcomes the picture sheltering resulted from an image key region of the traditional label adding method and can effectively reduce the visual loss of the image after label adding, thereby enhancing the visual experience of the image. The invention can realize parallel processing in graphic card hardware of a home computer and provides a simple, convenient, intuitive and high-efficiency label adding method of images for ordinary non-professional users.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a tag adding method based on image content. Background technique [0002] When people observe and understand images, they tend to be interested in some specific regions in the image unconsciously. The visual quality of the entire image depends largely on the quality of these ROIs, and the degradation of ROIs is sometimes imperceptible. These regions of interest are often image edge regions. Image edges generally refer to the collection of pixels with step-change pixel grayscales in the image. Image edges are very useful for image recognition and analysis. , step properties, shape, etc.), is an important attribute of an image, the most basic feature in an image, and the basis for analyzing and understanding an image. [0003] The change of image edge information means the change of the basic content or structure of the image. At the same time, the masking eff...

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): G06T1/00
Inventor 冯结青姜晓希
Owner ZHEJIANG 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