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

An Image Color Space Transformation Method with Invariant Illumination

A color space transformation, illumination invariant technology, applied in the field of computer vision, can solve the problems of loss of color and texture information, low computational complexity, insufficient shadow processing effect, etc., to achieve robust object recognition and meet real-time effects.

Active Publication Date: 2020-07-24
ZHEJIANG UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In contrast, the method based on image transformation has low computational complexity and is convenient for real-time calculation, but the shadow processing effect is not good enough, and a lot of color and texture information in the original image is lost during the transformation process.

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
  • An Image Color Space Transformation Method with Invariant Illumination
  • An Image Color Space Transformation Method with Invariant Illumination
  • An Image Color Space Transformation Method with Invariant Illumination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with specific embodiments.

[0055] Embodiments of the present invention are as follows:

[0056] In the case of digital camera parameter determination in the embodiment, the six transformation parameters γ gr ,γ br ,γ rg ,γ bg ,γ rb ,γ gr Obtained by solving the system of equations.

[0057] The transformation factor γ obtained by solving gr ,γ br ,γ rg ,γ bg ,γ rb ,γ gr They are:

[0058] gamma gr =0.6,γ br =0.6,γ rg =0.48,γ bg =0.57,γ rb =0.4,γ gb = 0.4.

[0059] Therefore, the following formula is used to transform the image color space invariant to illumination:

[0060]

[0061] Such as figure 1 In order to illustrate the reconstruction results of scenes with strong shadows, for a road scene strongly affected by shadows, in the image obtained after light-invariant color transformation, the effect caused by shadows is basically eliminated, which is beneficial to the road ...

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 color space transformation method with constant illumination. Based on the camera imaging model, the original image is transformed into a color space that is not affected by the light intensity but is mainly affected by the reflective characteristics of the object surface. The light invariant color space is defined in three channels of red, green and blue, and the value of each channel uses the original The nonlinear relationship of the three channels in the image is obtained, where the transformation factor can be determined according to the camera parameters. The invention eliminates the influence of complex illumination and shadows on images, obtains images that only reflect the surface characteristics of objects, and can be widely used in various visual recognition tasks.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to an image color space transformation method with constant illumination. Background technique [0002] With the rapid development of computer technology, computer vision is widely used in environment perception tasks of robots and intelligent vehicles, such as road recognition, obstacle recognition, etc. However, in the outdoor environment, the effect of the visual algorithm is affected by complex environmental factors, such as lighting conditions, shadows, etc., which directly affect the appearance and shape of the object in the image, which increases the difficulty of the recognition task and increases the difficulty of the visual recognition algorithm. of complexity. [0003] In previous studies, there are a series of image processing algorithms to deal with complex lighting situations, including methods based on statistical learning (R.Guo, Q.Dai, D.Hoiem. Paired regions for shadow...

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): G06K9/46G06T7/90
CPCG06T7/90G06V10/56
Inventor 陈剑贾丙西张凯祥
Owner ZHEJIANG 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