AlgoAnimator: Interactive Data Structures

RGB Pixel Matrix

Digital Vision

Computers don't see shapes or colors directly. They see massive spreadsheets of numbers labeled R, G, B.

Hover over a pixel to inspect its DNA.

Vision without a Brain

Before AI, how do computers store images? A digital image is nothing but a grid of colored dots called Pixels.

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1. The Pixel DNA (RGB)

Every pixel is made of 3 lights: Red, Green, Blue. By mixing them, we get millions of colors. (255, 0, 0) is Pure Red. (255, 255, 0) is Yellow.

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2. The Matrix of Numbers

Behind the colors, there are just numbers from 0 to 255. 0 means 'Light Off'. 255 means 'Light Maximum'. An image is literally a Spreadsheet.

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3. Seeing in Black & White

Color is complex. Often, we simplify images to Grayscale (Intensity only). Formula: Gray = 0.3*R + 0.59*G + 0.11*B. This removes color distraction.

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Inspect the Matrix

Click buttons to see the different channels (Red, Green, Blue). Hover over pixels to see their exact component values.

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Loading an Image

Using Python (OpenCV) to read image data.

vision.py

import cv2
import numpy as np

# 1. Load Image
# Matches the interactive grid above
image = cv2.imread('apple_pixel_art.png')

# 2. Inspect shape
print(image.shape)
# Output: (3, 3, 3) 
# -> (Height, Width, Channels[BGR])

# 3. Get pixel value at top-left
pixel = image[0, 0]
print(pixel)
# Output: [50, 200, 50] (Greenish)

Reading Pixels