Finding Edges in Images

AIM

The objective of this MATLAB script is to find the edges in a grayscale image by applying the following edge detection operators:

1. Laplacian Operator
2. Unsharp Masking
3. Highboost Filtering

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Features

This MATLAB script performs the following tasks:

• Converts an image to grayscale (if not already grayscale).
• Applies various Laplacian filters with different center coefficients.
• Enhances image sharpness using Unsharp Masking.
• Performs Highboost Filtering to improve image details.
• Displays and compares results visually.

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How to Use

1. Clone or download this repository to your local system.
2. Ensure MATLAB (R2020b or later) and the Image Processing Toolbox are installed.
3. Run the script lab09_edges.m in MATLAB.
4. The script will display the results of different edge detection methods including Laplacian, Unsharp Masking, and Highboost Filtering.

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Prerequisites

• MATLAB R2020b or later.
• Image Processing Toolbox.

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Instructions

1. Save the file as lab09_edges.m.
2. Open MATLAB and navigate to the directory containing the script.
3. Run the script in MATLAB by typing lab09_edges in the command window.
4. The script will:
   • Read and convert the input image to grayscale.
   • Apply Laplacian filters with different coefficients.
   • Perform Unsharp Masking with different kernel sizes.
   • Apply Highboost Filtering with different boost factors.
   • Display the processed images in separate figure windows.

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Example Results

Laplacian Edge Detection

Unsharp Masking

Highboost Filtering

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Author

Rahul Patel
Electronics and Communication Engineering Student
Date: Febrary 02, 2025

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