2D image processing

Программа обучения

• 2D image processing overview

  In this module you will know the basic information about computer vision and image processing. The listener will learn how to set-up a real-time optimized Computer Vision library (OpenCV) for different computer languages. Some simple operations of video file processing will be presented.

• Basic operations of 2D image processing

  In this module the listener will know about basic operations of image processing such as working with different color models, normalization and binarization techniques, image contrast enhancements.

• Local (spatial) image filtering

  It this module the listener will learn different image filtering techniques and morphological operations. Edge and circle detection algorithms will be discussed and demonstrated in practice

• Image matching and local descriptors

  This module contains the practical task based on the first half of the course. The goal is to apply knowledge from the previous weeks and implement a program that solve a certain task. In addition, this week contains theoretical and practical materials about image matching and local descriptors. The student will learn how to find correspondent parts in different images and create panoramas with image stitching.

• Image classification and object detection

  In this module the listener will learn how to detect objects with the Viola-Jones method and solve content-based image retrieval tasks.

• 2D image segmentation and object tracking. Final project

  This module contains final project of the course. The goal of this project to apply all knowledges from the previous weeks and implement a program that solve a certain task.