Image Processing and Pattern Recognition
( 25 Modules )

Module #1
Introduction to Image Processing
Overview of image processing, importance, and applications

Module #2
Image Representation and Storage
Image formats, pixel values, and data structures

Module #3
Image Acquisition and Preprocessing
Image capture, digitization, and preprocessing techniques

Module #4
Image Enhancement
Contrast stretching, histogram equalization, and filtering

Module #5
Image Restoration
Noise reduction, deblurring, and image reconstruction

Module #6
Image Segmentation
Thresholding, edge detection, and region growing

Module #7
Feature Extraction
Image features, texture analysis, and shape descriptors

Module #8
Image Filtering and Convolution
Spatial and frequency domain filtering, convolution, and filtering techniques

Module #9
Transforms in Image Processing
Fourier, wavelet, and cosine transforms for image analysis

Module #10
Morphological Image Processing
Binary morphology, dilation, erosion, and opening/closing operations

Module #11
Image Compression
Lossless and lossy compression techniques, JPEG, and JPEG2000

Module #12
Introduction to Pattern Recognition
Overview of pattern recognition, applications, and challenges

Module #13
Pattern Recognition Fundamentals
Distance metrics, similarity measures, and clustering algorithms

Module #14
Supervised Learning in PR
Bayes theorem, decision trees, and k-NN classification

Module #15
Unsupervised Learning in PR
K-means clustering, hierarchical clustering, and expectation-maximization

Module #16
Support Vector Machines and Kernel Methods
SVMs, kernel trick, and Mercers theorem

Module #17
Neural Networks for Pattern Recognition
Multilayer perceptrons, backpropagation, and convolutional neural networks

Module #18
Deep Learning for Image Recognition
Convolutional neural networks, AlexNet, and transfer learning

Module #19
Object Detection and Recognition
R-CNN, Fast R-CNN, and YOLO

Module #20
Image Classification and Annotation
Image classification, annotation, and applications

Module #21
Image Retrieval and Search
Content-based image retrieval, feature extraction, and indexing

Module #22
Biometric Applications of IP and PR
Face recognition, fingerprint recognition, and iris recognition

Module #23
Medical Image Analysis
Image segmentation, registration, and feature extraction for medical images

Module #24
Image Processing and Pattern Recognition in Computer Vision
Applications of IP and PR in robotics, autonomous vehicles, and surveillance

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Image Processing and Pattern Recognition career

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Image Processing and Pattern Recognition ( 25 Modules )

Image Processing and Pattern Recognition
( 25 Modules )