BCS613B | COMPUTER VISION

Module 1
Introduction: What is computer vision? A brief history. Image Formation: Photometric image formation, The digital camera. Image processing: Point operators, Linear filtering. 
Module 2
image processing: More neighborhood operators, Fourier transforms, Pyramids and wavelets, and Geometric transformations.
Module 3
Image Restoration and Reconstruction: A model of Image degradation/restoration process, restoration in the presence of noise only, periodic noise reduction by frequency domain filtering. Image Segmentation: Fundamentals, Point, Line and edge detection, thresholding (Foundation & Basic global thresholding only), Segmentation by region growing & region splitting & merging. 
Module 4
Color Image Processing: Color fundamentals, color models, Pseudocolor image processing, full color image processing, color transformations, color image smoothing and sharpening, Using color in image segmentation, Noise in color images. 
Module 5
Morphological Image Processing: Preliminaries, Erosion and Dilation, opening and closing, Hit-or-miss transform, some basic morphological algorithms. Feature Extraction: Background, Boundary preprocessing (Boundary following & Chain codes only). Image pattern Classification: Background, Patterns and classes, Pattern classification by prototype matching (Minimum distance classifier only).  

BCS613B | Model Question Paper with Solution

MQP Solution
Access well‑organized Model Question Paper with step‑by‑step, point‑wise solutions. Each solution is created to save your time, clarify concepts, and help you revise effectively. 

BCS613B | Passing Package
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Passing Package
A smart package made for VTU students! Selected important questions prepared to cover exactly what matters in VTU exams. Clear, simple, and quick to revise – perfect for last‑minute preparation and aiming for better marks with confidence.