Description
“Image Processing Bootcamp using Python” is a training course—published by the online academy Udemy—that focuses on using Python and widely-used image processing libraries. You will begin with the fundamentals of digital imaging—such as pixels, image formats, color channels, and image arrays—before progressing to practical techniques for working with image data. The course covers essential operations including image resizing, cropping, rotation, color conversion, blurring, sharpening, noise removal, thresholding, and edge detection. You will learn to utilize NumPy for efficient numerical operations and OpenCV to implement image processing algorithms and build automated workflows. Through hands-on exercises, you will practice extracting visual features, enhancing image quality, identifying patterns, and solving common image analysis problems.
Furthermore, you will build a foundation for more advanced topics such as computer vision, object detection, and AI-driven visual applications. Whether you are a beginner learning Python, a student interested in digital image analysis, or a developer exploring computer vision, this bootcamp will help you develop practical programming skills and gain confidence in handling real-world image processing tasks. Throughout the course, you will explore concepts like image representation and color models, image enhancement and segmentation techniques, the creation of practical applications (such as image viewers and conversion tools), as well as the fundamentals of computer vision and face detection using OpenCV. This curriculum provides a deep, practical understanding of how these concepts are applied in real-world scenarios, preparing you to solve actual image processing challenges and succeed in technical interviews.
What you will learn in Image Processing Bootcamp using Python:
- Understand the fundamentals of digital image processing, image representation, color models, and essential image processing terminology.
- Apply image enhancement, filtering, transformation, and segmentation techniques using Python, NumPy, and OpenCV.
- Build practical image processing applications, including image viewers, transformation tools, feature detection, and segmentation projects.
- Understand the fundamentals of computer vision, feature extraction, object detection, and face detection using OpenCV.
- Develop the confidence to solve real-world image processing problems and prepare for technical interviews with strong practical skills.
- and …
Course specifications
Publisher: Udemy
Instructors: Er. Shruti Sharma
Language: English
Level: Introductory to Advanced
Number of Lessons: 60
Duration: 12 hours and 57 minutes
Course topics
Image Processing Bootcamp using Python Prerequisites
No prior knowledge of image processing or computer vision is required. This course starts from the basics and gradually progresses to advanced concepts. Basic computer skills, such as creating folders, installing software, and running programs, will be helpful. A computer or laptop (Windows, macOS, or Linux) with an internet connection is recommended for hands-on practice. Python programming experience is helpful but not mandatory. All the essential Python concepts required for the course are explained along the way. A willingness to learn and practice is the only essential requirement!
Pictures
Image Processing Bootcamp using Python introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
13.3 GB