Image Processing and Computer Vision

📚 CSE 4127 ⏰ 3.0 Credits (3 Lectures/Week) 🎯 academic

Digital Image Fundamentals

Different types of digital images, Sampling and quantization, Imaging geometry, Image acquisition systems, Image transformation.

Morphological Image Processing

Basic morphological concepts, Thinning, Thickening, Opening and closing operations.

Images Enhancement

Point processing, Spatial filtering, Frequency domain filtering, Multi-spectral image enhancement.

Image Restoration

Degradation and observation models, Inverse filtering, Geometric transformation.

Image Segmentation

Detection of discontinuities, Edge linking and boundary detection, Thresholding, Region-oriented segmentation.

Image Compression

Lossy and lossless compression schemes, Predictive compression methods, Vector quantization, JPEG and MPEG image compression.

Image Perception and Physical Modeling

Human visual system, Light, Brightness, contrast, Color modeling and representation.

Recognition and Analysis

Object recognition, Edge detection, Linking and representation, 2D motion analysis, Stereo and multi-view analysis.

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