Image Processing and Computer Vision (CS803 (A))-Computer Science and Engineering (VIII) | RGPV

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• Syllabus

• Syllabus - Image Processing and Computer Vision (CS803 (A))

• Introduction to computer vision and Image processing (CVIP)

• Basics of CVIP
• CV Models
• Image Filtering, Representation and Statistics
• Recognition Methodology
• Morphological Image Processing

• Image Representation and Description

• Representation schemes and Descriptors
• Binary Machine Vision
• Area Extraction

• Region Analysis

• Region properties and External points
• Spatial moments and Mixed spatial gray-level moments
• Boundary analysis and General Frame Works For Matching

• Facet Model Recognition

• Labeling lines and Understanding line drawings
• Classification of shapes and Recognition of shapes
• Perspective Projective geometry and Photogrammetric
• Image matching and Object Models And Matching

• Knowledge Based Vision

• Knowledge representation and Control-strategies
• Information Integration and Object recognition
• Principal component analysis and feature extraction
• Neural network and Machine learning for image shape recognition