Image Video Analysis
Central Tendency: Mean, Median, Mode, Covariance, Correlation,,Probability Density
Function, Bayes Theorem
Image Filtering, Edge Detection, Colour Fundamentals: Colour Conversion
Image Perception: Light, Luminance, Contrast, Subjective Criteria, Colour Coordinate
System, Subjective and Quantitative criteria, Laws of color matching.
Image sampling and quantization: Dirac Delta Function, Comb Function
Image classification: Supervised, Unsupervised, Clustering, PCA, K-means, MLE, KNN,
Distance measures, Isodata, Linear discriminant function
Morphological Operations: Thinning, Thickening, Hit or miss
Remote Sensing: vegetation index, PVI
Template Matching: Squared difference, Normalized squared difference, Cross
correlation.
Face Recognition:PCA, Eigenface, Fischer Face, Local Binary Pattern, Histogram
Digital Image: Coding, Blockiness Detection, Image Editing Detection
Transformations: Geometric, Projective, Elastic, Affine
ANN: ANN, MLP, CNN
Video: Analogue Video, Video Format, Background Modeling
Freeman Code, Fourier Descriptor
RLE, Huffman Coding, JPEG
Optic Flow, Motion Tracking.
Bayesian Framework, Prior Probability
Lip Modelling and Tracking
MPEG bitstream, Hough Transform,
Shape Representation: Shape Colour,Active Shape Model