Teach machines to see with our BCS613B VTU Notes. Master image processing, feature extraction, and object recognition for the 2022 Scheme at the all-new vtubuddy.in Computer Science and AI resource portal.
Teach machines to see with our BCS613B VTU Notes. Master image processing, feature extraction, and object recognition for the 2022 Scheme at the all-new vtubuddy.in Computer Science and AI resource portal.
What is computer vision? A brief history. Image Formation: Photometric image formation, The digital camera. Image processing: Point operators, Linear filtering.
Image processing: More neighborhood operators, Fourier transforms, Pyramids and wavelets, and Geometric transformations.
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.
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
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).
BME302
BME301
BCS702
BCS701
BCS3012Mod
BCEDK103
BCSL305
BCS30122550question
BCS303
XYZS301
