Курс на Stepik
Обложка курса «Image Processing with OpenCV and Python» на Stepik
Бесплатно

Image Processing with OpenCV and Python ★ 0.000

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The course focuses on the key methods and approaches of image processing. The course concerns the key sections of image procesing, such as histograms, profiles, projections, low-pass and high-pass filters, geometric transformations, distortion correction, and image morphology analysis. During the practical part, the students obtain skills of image processing using the OpenCV open-source library.

Показатель Текущие показатели Рост
Значение 🏆 Рейтинг 3 дн 7 дн 30 дн
Количество учеников на курсе «Image Processing with OpenCV and Python»Учеников на курсе 0
Сертификаты, выданные на курсе «Image Processing with OpenCV and Python»Сертификатов выдано 0
Отзывы о курсе «Image Processing with OpenCV and Python»Отзывов получено 0
Рейтинг курса «Image Processing with OpenCV and Python»Рейтинг курса 0.000
Уроки в курсе «Image Processing with OpenCV and Python»Количество уроков 16
Задачи с кодом в курсе «Image Processing with OpenCV and Python»Количество задач с кодом 35
Обновления курса «Image Processing with OpenCV and Python»Обновления курса — —
Дата публикации курса «Image Processing with OpenCV and Python»Дата публикации курса — ———
Последнее обновление курса «Image Processing with OpenCV and Python»Последнее обновление — ———
Сложность easy — ———

Чему вы научитесь

  • Know the basic approaches of digital images adjusting and corrections.
  • Know the basic techniques for filtering digital images.
  • Can perform image distortion and correction.
  • Can determine the boundaries of the unit objects on the plain background.
  • Can use stitching algorithms for the set of digital images.
  • Can use OpenCV to research and transform digital images.

О курсе

The course focuses on the key methods and approaches of image processing. The course concerns the key sections of image procesing, such as histograms, profiles, projections, low-pass and high-pass filters, geometric transformations, distortion correction, and image morphology analysis. During the practical part, the students obtain skills of image processing using the OpenCV open-source library.

Начальные требования

It is expected that students already know the Python programming language in order to enroll in this course.

Преподаватели курса

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3-5 hours a week

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