Examples of parametric models are: lines / circles/ arbitrary shapes/templates. As an easy example: Line. Line model has three requirements: 1. how many lines are there? 2. which points combine which line? 3. what is the line? Parametric models use voting systems to fill in occlusions and cancel noisy lines,Continue Reading
Smooth the image with a gaussian filter to remove noise. Find gradients with max intensity (above a certain threshold). Apply non-maximum suppression to get rid of spurious response to edge detection (by finding the peaks in the gradients detected above the certain threshold, so it basically is the maximum ofContinue Reading
First when you just have 1D and want to find edges such as just a vertical or horizontal scanning, it’s easy to take the second derivative times the kernel and times the image: ∂²/∂x² * h(kernel) *f(image) for horizontal or ∂²/∂y² * h(kernel) * f(image) for vertical. Then just find aContinue Reading
Yair Shinar for Clarity and Solutions