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Course Description
Images are everywhere! We live in a time where images contain lots of information, which is sometimes difficult to obtain. This is why image pre-processing has become a highly valuable skill, applicable in many use cases. In this course, you will learn to process, transform, and manipulate images at your will, even when they come in thousands. You will also learn to restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection, and much more, using scikit-image. After completing this course, you will be able to apply your knowledge to different domains such as machine learning and artificial intelligence, machine and robotic vision, space and medical image analysis, retailing, and many more. Take the step and dive into the wonderful world that is computer vision!
Prerequisites
Curriculum
Course outline
1
Introducing Image Processing and scikit-image
Jump into digital image structures and learn to process them! Extract data, transform and analyze images using NumPy and Scikit-image.
With just a few lines of code, you will convert RGB images to grayscale, get data from them, obtain histograms containing very useful information, and separate objects from the background!
- Make images come alive with scikit-image50 XP
- Is this gray or full of color?50 XP
- RGB to grayscale100 XP
- NumPy for images50 XP
- Flipping out100 XP
- Histograms100 XP
- Getting started with thresholding50 XP
- Apply global thresholding100 XP
- When the background isn't that obvious100 XP
- Trying other methods100 XP
- Apply thresholding100 XP
2
Filters, Contrast, Transformation and Morphology
You will learn to detect object shapes using edge detection filters, improve medical images with contrast enhancement and even enlarge pictures to five times its original size!
You will also apply morphology to make thresholding more accurate when segmenting images and go to the next level of processing images with Python.
3
Image restoration, Noise, Segmentation and Contours
So far, you have done some very cool things with your image processing skills!
In this chapter, you will apply image restoration to remove objects, logos, text, or damaged areas in pictures!
You will also learn how to apply noise, use segmentation to speed up processing, and find elements in images by their contours.
4
Advanced Operations, Detecting Faces and Features
After completing this chapter, you will have a deeper knowledge of image processing as you will be able to detect edges, corners, and even faces! You will learn how to detect not just front faces but also face profiles, cat, or dogs. You will apply your skills to more complex real-world applications.
Learn to master several widely used image processing techniques with very few lines of code!
Image Processing in Python
Course
Complete
