Technologies / Artificial Intelligence

Pattern matching in image analysis

The training introduces pattern matching techniques in image analysis, from classical methods to modern approaches using machine learning. Participants will learn practical applications of various pattern matching algorithms and how to select the right methods for specific use cases. The program is delivered through hands-on workshops using real examples from industry.

Issues

Template matching
Feature descriptors
Image transformations
Measures of similarity
Invariant matching
Siamese nets
One-shot learning
Algorithm optimization
Visual inspection systems
Industrial integration
Validation of solutions
Solving practical problems

Benefits

Practical knowledge of pattern matching techniques
Ability to implement visual inspection systems
Ability to optimize matching algorithms
Experience in integration with industrial systems
Knowledge of modern machine learning methods
Ability to select appropriate techniques for specific applications

Who is this training for?

Vision application developers

Quality control systems engineers

Process automation specialists

Developers of visual inspection systems

Medical image analysts

Industrial robotics engineers

Prerequisites

Basic knowledge of image processing
Experience in Python programming
Knowledge of linear algebra
Fundamentals of machine learning

Training program

Image transformations

Measures of similarity

Invariant matching
Methods based on local features
Multi-scale techniques

Machine learning in matching

Embedding-based methods

Few-shot learning
Implementation and optimization
Integration with industrial systems
Performance optimization
Problem solving in practice
Validation of solutions

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Pattern matching in image analysis we recommend: Basic knowledge of image processing; Experience in Python programming; Knowledge of linear algebra.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Vision application developers; Quality control systems engineers; Process automation specialists.