Machine Perception and Image Processing (Labs)

The subject introduces students to digital image processing and machine perception.

Please study carefully the rules about assignments.

⚠️ See checklist before submission.

Topics

Topics are not ordered.

• Introduction

• Feature detection and matching

• Camera calibration

• Geometric transformations

• Image histogram

• Edge detectors and morphological operations

• Thresholding and contours (segmentation)

• Clustering (segmentation)

• Template matching

• Dataset Preparation

• CNN Model for Classification