Loved by learners at thousands of companies
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!
Introducing Image Processing and scikit-imageFree
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 xpIs this gray or full of color?50 xpRGB to grayscale100 xpNumPy for images50 xpFlipping out100 xpHistograms100 xpGetting started with thresholding50 xpApply global thresholding100 xpWhen the background isn't that obvious100 xpTrying other methods100 xpApply thresholding100 xp
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.Jump into filtering50 xpEdge detection100 xpBlurring to reduce noise100 xpContrast enhancement50 xpWhat's the contrast of this image?50 xpMedical images100 xpAerial image100 xpLet's add some impact and contrast100 xpTransformations50 xpAliasing, rotating and rescaling100 xpEnlarging images100 xpProportionally resizing100 xpMorphology50 xpHandwritten letters100 xpImproving thresholded image100 xp
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.Image restoration50 xpLet's restore a damaged image100 xpRemoving logos100 xpNoise50 xpLet's make some noise!100 xpReducing noise100 xpReducing noise while preserving edges100 xpSuperpixels & segmentation50 xpNumber of pixels50 xpSuperpixel segmentation100 xpFinding contours50 xpContouring shapes100 xpFind contours of an image that is not binary100 xpCount the dots in a dice's image100 xp
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!Finding the edges with Canny50 xpEdges100 xpLess edgy100 xpRight around the corner50 xpPerspective100 xpLess corners100 xpFace detection50 xpIs someone there?100 xpMultiple faces100 xpSegmentation and face detection100 xpReal-world applications50 xpPrivacy protection100 xpHelp Sally restore her graduation photo100 xpAmazing work!50 xp
PrerequisitesPython Data Science Toolbox (Part 2)
Rebeca is a data engineer and an entrepreneurial spirit. She has worked in companies like Ayesa and is now co-founder of Alio.li and APTIC, a startup that focuses on helping visually impaired people to see through Artificial Vision. Besides this, she loves animals, brainstorming sessions, and meeting new people. You can follow or contact her on Twitter and LinkedIn.
What do other learners have to say?
I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.
Devon Edwards Joseph
Lloyds Banking Group
DataCamp is the top resource I recommend for learning data science.
Harvard Business School
DataCamp is by far my favorite website to learn from.
Decision Science Analytics, USAA