HW$3-$ Edge detection and evaluation

Objective: Practice various edge detection methods and assess their performance against the ground$-$truth $($reference$).$

Data: You are provided with four $(4)$ color images and their respective ground$-$truth $($GT$)$ edge maps. The GT maps are stored in $".$mat" format. Go to page $4$ for more details about this format. A code is provided to read GT maps.

Requirements: Include your code in Jupyter Notebook and feel free to utilize libraries such as Scikit$-$image, OpenCV, Matplotlib, etc.

Task: Your task is to answer the following questions:

Read the input image $(189080.$jpg$)$ and display it$.$

$?$ Rood tho drnu und$\_$tri,th image of the edge and display it$.$

If the input image is RGB$,$ then convert it to a gray$-$scale image.

$1$

Using Roberts and Sobel edge detection methods, detect the edge of the gray$-$scale image. Display the results as follows:

The edge pixels' values are not restricted to $0$ or $1$ ; they are floating$-$point numbers. To obtain a binary $(0/1)$ edge output, classify the output of each edge detection method using different threshold values: $T=0\mathrm{.}05,0\mathrm{.}1,0\mathrm{.}2,$ and $0\mathrm{.}3.$ Present the results as follows: