OpenCV  4.10.0
Open Source Computer Vision
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Modules | Classes | Enumerations
Macbeth Chart module

Modules

 Color Correction Model
 

Detailed Description

Introduction

ColorCharts are a tool for calibrating the color profile of camera, which not only depends on the intrinsic and extrinsic parameters of camera but also on the lighting conditions. This is done by taking the image of a chart, such that the value of its colors present in it known, in the image the color values changes depeding on many variables, this gives us the colors initially present and the colors that are present in the image, based on this information we can apply any suitable algorithm to find the actual color of all the objects present in the image.

Classes

class  cv::mcc::CChecker
 checker object More...
 
class  cv::mcc::CCheckerDetector
 A class to find the positions of the ColorCharts in the image. More...
 
class  cv::mcc::CCheckerDraw
 checker draw More...
 
struct  cv::mcc::DetectorParameters
 Parameters for the detectMarker process: More...
 

Enumerations

enum  cv::mcc::TYPECHART {
  cv::mcc::MCC24 = 0 ,
  cv::mcc::SG140 ,
  cv::mcc::VINYL18
}
 enum to hold the type of the checker More...
 

Enumeration Type Documentation

◆ TYPECHART

#include <opencv2/mcc/checker_model.hpp>

enum to hold the type of the checker

TYPECHART

Enumerator
MCC24 
Python: cv.mcc.MCC24

Standard Macbeth Chart with 24 squares.

SG140 
Python: cv.mcc.SG140

DigitalSG with 140 squares.

VINYL18 
Python: cv.mcc.VINYL18

DKK color chart with 12 squares and 6 rectangle.