Thresholding & Binary Masks: Separating an Object from the Background
This lesson is part of the course
In this lesson
You pick a global threshold for a photo of a coin on a dark table, turn the image into a 0/1 mask, measure how much of the image the coin covers and colour the mask.
Buy the course once for $9.99 to unlock every lesson and lab, the final exam and the certificate – lifetime access, no subscription.
Lessons in this course
- Pixels as Numbers: RGB to Greyscale with Weighted Luminance Locked
- Brightness, Contrast & the Histogram (FREQUENCY, with a Chart) Locked
- Thresholding & Binary Masks: Separating an Object from the Background Locked
- 3×3 Convolution with SUMPRODUCT: a Gaussian Blur Locked
- Sharpening & Edge Detection: Sobel Gx, Gy and Gradient Magnitude Locked
- Padding & Stride: the Output-Size Formula and a Stride-2 Convolution Locked
- Max & Average Pooling: Shrinking Feature Maps Locked
- A Tiny CNN by Hand: Conv → ReLU → Pool → Score Locked