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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