An introductory document on computer vision with OpenCV and Python defines an image as a 2D perception of light that humans see as continuous waves of visible light with colors based on wavelength. Computers perceive images as discrete 2D arrays of light intensities at moments in time, with colors composed of combinations of red, green, and blue RGB channels. The document provides an example RGB image array and previews upcoming coding sessions on plotting images, filters, edge detection, and face detection using OpenCV.

1. Intro to Computer Vision
With OpenCV & Python

2. Defining an Image
An image is a 2D perception of light.
Humans tend to perceive light as a continuous wave.
Visible light, tends to have colors based on their wavelength.
All colors can be obtained using 3 primary colors, Namely RGB.

3. How Computers Perceive Images (DIP)
An image is a 2D, array with discrete
Intensities of light at a certain moment.
All colors are combination of Red, Green and
Blue, called RGB Channels.
Simply Put, colored images are 2D arrays
with one layer for each color.

4. Example
[[1,0,1,0],
[0,1,0,1],
[1,0,1,0],
[0,1,0,1]]

5. Next
• Coding Session
Numpy
Matplotlib.pyplot
Ploting Images
B&W
• RGB
• Filters Brightness, Contrast
• Application Edge Detection,
• Open CV
• Applications Of CV
• Face Detection with Open CV