Computer-Vision-Course

This repository contains my Computer Vision course assignments. This course had fourteen assignments and a final project, which you can find it here.

• Introduction

  • HW1: Introduction of OpenCV

• Image Processing in Spatial Domain

  • HW2: Cutting and Histogram Stretching

  • HW3: Histogram equalization, Histogram matching, and Gaussian kernel

• Image Processing in Frequency Domain

  • HW4: Fourier transform and Intermittent noise

• Shape Extraction

  • HW5: Canny, Sobel and, Laplacian edge detection

  • HW6: Random Sample Consensus (RANSAC), Hough transform and, Line Segment Detector (LSD)

• Color Space; Correspondence and Image Alignment

  • HW7: HSV and YbCr color space and Harris corner detector

  • HW8: Perspective transform; creating PANORAMA image

• Image Segmentation

  • HW9: Affine tranform; Otsu and Adaptive Threshold algorithm

• Morphological Image Processing

  • HW10: Contouring, Dilate, and Erode operation

  • HW11: Hit-or-Miss operation and Eskeleton algorithm

• Image Classification

  • Shape, Color, and Texture Descriptors

    • HW12: LBP, HOG, and SVM

• Machine Learning

  • Convolution Neural Network (CNN)

    • HW13: Convolution, Dense and Pooling layer; Inseption Module; Confution matrix

  • CNN Architectures and Data Augmentation

    • HW14: ResNet50, Data Augmentation, and Fine-tuning