Method and system for recognizing object colors

A color recognition and color technology, applied in the field of computer vision, can solve the problem of low accuracy of object color recognition methods

Active Publication Date: 2015-07-08
SUZHOU KEDA TECH
View PDF6 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] For this reason, the technical problem to be solved in the present invention is that the accuracy of the object color recognition method in the prior art is not high, thus a high accuracy object color recognition method and system are proposed to solve this problem

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 and system for recognizing object colors
  • Method and system for recognizing object colors
  • Method and system for recognizing object colors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] figure 1 It shows an object color recognition method in Embodiment 1 of the present invention, which can be applied to various object surface color recognition, for example: product packaging color mark detection, product appearance characteristic color detection, liquid solution color change process detection and control, vehicle color recognition in intelligent transportation systems, etc. In short, it can be used in any field that requires color recognition of objects. The method may include the steps of:

[0050] Step S11 , performing color cast correction on the acquired object image.

[0051] Step S12, obtaining a color recognition area according to the image after color cast correction.

[0052] Step S13, identifying the color of each pixel in the color identification area.

[0053] Step S14, taking the color with the largest number of pixels in the color recognition area as the object color. That is, the number of pixels of each color is counted, and the co...

Embodiment 2

[0093] In this embodiment, a vehicle is taken as an example to further illustrate the object color recognition method of the present invention. For vehicles, the existing identification methods generally only roughly select the area above the hood, which cannot truly characterize the color of the vehicle. At the same time, due to the fact that there may be stickers on the surface of the vehicle, it is relatively dirty, and it is affected by light. When the color is identified, it is necessary to consider the colors of different areas of the vehicle. Therefore, in this embodiment, the color identification area is divided into three different areas, wherein the first color identification area is located in the image of the vehicle after the color cast correction. In the middle area of ​​the hood of the flat area of ​​the area where the flat area is located, the flat area is the texture flat area obtained by searching with reference to the texture feature. The second color identi...

Embodiment 3

[0114] Image 6 An object color recognition system according to Embodiment 3 of the present invention is shown. The system includes a color cast correction module 61 , a recognition area acquisition module 62 , a pixel color identification module 63 and an object color acquisition module 64 . Corresponding to Embodiment 1, the color cast correction module 61 is used to correct the color cast of the acquired object image. The recognition area obtaining module 62 is used for obtaining a color recognition area according to the image after color cast correction. The pixel color identification module 63 is used to identify the color of each pixel in the color identification area. The object color acquisition module 64 is used to use the color with the largest number of pixels in the color recognition area as the object color.

[0115] In the object color recognition system according to this embodiment, by correcting the color cast of the acquired object image, the influence of im...

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 a method and system for recognizing object colors. The method comprises the steps that color cast correction is conducted on an obtained object picture; a color reorganization area is obtained according to the picture subjected to color cast correction; the colors of all pixels in the color reorganization area are recognized; the color with the most pixels in the color reorganization area is used as the object color. In this way, color cast correction is completed on the object picture, scene color information can be recovered, the influence of real color cast on subsequent color recognition is effectively avoided, and the accuracy of object color recognition is improved.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an object color recognition method and system. Background technique [0002] In the past, the command and management of traffic and the detection of such cases were usually deployed at public security outlets, and the license plate number, model, color, and logo of the car were observed by human eyes. With the increase in the number of motor vehicles, traffic accidents and vehicle-related cases have increased significantly. The traditional manual method has a low degree of automation, wastes manpower, and takes a long time. The intelligent transportation system integrates advanced intelligent identification algorithms, data transmission technology, and electronic technology, and can be controlled in real time, efficiently, and on a large scale, so it has been widely cited. [0003] The intelligent transportation system recognizes license plate information, vehicle model,...

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): G06K9/00G06T7/40
Inventor 刘淑娟孙晓霞耿连英张安发晋兆龙陈卫东
Owner SUZHOU KEDA 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