“Edge detection using LoG (Laplacian of Gaussian), Line detection and Object detection”

LAB#09
“Edge detection using LoG (Laplacian of Gaussian), Line detection and
Object detection”
Lab Objectives:
• To understand the concept of edge detection using LoG filter, Lines detection and Object
detection

Introduction:
Gaussian filter:




Laplacian of gaussian:
Line detection:

The line detection operator consists of a convolution kernel tuned to detect the presence of lines
of a particular width n, at a particular orientation θ. Figure 1 shows a collection of four such
kernels, which each respond to lines of single pixel width at the particular orientation shown.




Figure 1 Four line detection kernels which respond maximally to horizontal, vertical and oblique
(+45 and - 45 degree) single pixel wide lines.

Object detection:

Add up both horizontal and vertical lines to get the complete objects of an Image.

In Lab Tasks:
Task#01: Write a MATLAB user defined function to implement gaussian filter.

Code:

, Figure: