Create a computer vision system using decision tree algorithms to solve a real-world problem : Color Spaces

Create a computer vision system using decision tree algorithms to solve a real-world problem : Color Spaces

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explores different color spaces, focusing on RGB and HSV. It explains how colors are represented in RGB and how mixing red, green, and blue can create various colors. The tutorial also covers the differences in color representation in OpenCV, which uses BGR format. The HSV color space is introduced, highlighting its components: hue, saturation, and value. Practical examples of converting RGB to HSV are provided to enhance understanding.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the hue value in the HSV color space?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What color does a saturation value of 0 represent in the HSV model?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the value component in HSV affect the brightness of a color?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to convert RGB values to HSV values.

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