horahagh16 / Computer-Vision-SBU

Computer-Vision

Lesson exercises of the basics of computer vision. Presented by Dr. Naderi at Shahid Beheshti University
Fall 2023

Course Overview

1. Image Formation

• Understand the fundamentals of image formation.
• Explore the basics of digital imaging systems and how they capture visual information.

2. Image Enhancement

• Learn techniques for improving image quality and visual appearance.
• Explore Histogram Equalization, Spatial Filters, and Frequency Filters for image enhancement.

3. Edge Detection

• Gain insights into detecting edges in images.
• Explore popular edge detection algorithms and their applications.

4. Corner Detection

• Understand the importance of identifying corners in images.
• Explore corner detection methods and their applications.

5. Morphological Image Processing

• Learn morphological operations for image processing.
• Understand how to use dilation, erosion, opening, and closing operations for various applications.

6. Image Segmentation

• Explore methods for dividing an image into meaningful regions.
• Understand different segmentation techniques and their applications.

7. Image Classification

• Delve into the basics of image classification.
• Learn about feature extraction, training classifiers, and evaluating classification performance.

8. Convolutional Neural Networks (CNN)

• Explore the foundations of Convolutional Neural Networks.
• Understand how CNNs are applied in computer vision tasks such as image recognition.

Prerequisites

• Basic understanding of programming (preferably Python).
• Familiarity with fundamental concepts in linear algebra and calculus.

Let's embark on this exciting journey into the world of Computer Vision! 🌐👁️💻