This document discusses color detection using OpenCV in C++. It introduces color detection and OpenCV, with the objective of implementing object-oriented programming concepts to detect pixel colors in a 3-channel RGB image. The architecture involves OpenCV capturing images in BGR format. Implementation calculates spatial moments and central moments of a binary image to determine pixel colors. Future applications include computer vision, object segregation and tracking based on color.

1. COLOR DETECTION
Presented by
Anil Pokhrel
Bsccsit 3 semester
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2. Contents
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 Introduction to c++
 Introduction to color detection in visual studio
 Objective
 Architecture
 Implementation
 Future scope
 Conclusion

3. Introduction to c++
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 The basic concepts underlying OOP are:
Class, Object, abstraction, encapsulation,
inheritance, and polymorphism
 Programs are divided into objects.
 Data structures are designed such that they
characterize the objects .
 Functions & data are tied together in the data
structures

4. Introduction to color detection
using Open CV4
 Open CV is a Computer Vision library developed
by Intel
 It is a collection of C++ classes that implement
popular Image Processing and Computer Vision
algorithms
 It includes filtering, edge detection, corner
detection, sampling and interpolation, color
conversion and color detection

5. Continue……
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 Color detection is the most important and
challenging fundamental task of computer
vision
 The easiest way to detect and segment an
object from an image is the color based
methods
 Color is one of the most important
characteristics of an image, if color in a live
video or in a digital image can be detected,
then the results of this detection can be used

6. Objective
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 The main objective is to implement the concept of
object oriented programming in C++.
 To implement the theoretical knowledge into a
practical approach
 Here we take a coloured image of 3 channel
(RED,GREEN,BLUE)
 Our aim is to retrieve these values from an image
to determine the color of the pixel

7. ARCHITECTURE
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 It aims to provide information about system
architecture and it consists of color detecting
diagrams
 Open CV usually captures images and videos
in 8-bit, BGR format

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9. Implementation
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 We have to calculate 1st order spatial
moments around x-axis and y-axis and the 0th
order central moments of the binary image.
 0th order central moments of the binary image
are equal to the white area of the image in
pixels.

10. Control of color detection
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11. Future scopes and conclusion
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 Computer vision- Color detection is the basic
and important step for proceeding in computer
vision.
 Object Segregation- An object can be
segregated (separated) on the basis of its
color.
 Object Tracking- A moving object can be
tracked on the basis of its color

12. References
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 https://www.opencv-srf.com/2010/09/object-
detection-using-color-seperation.html
 https://www.codeproject.com/Articles/850023/
Color-Based-Object-Detection

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