OpenCV: Advanced Image Operations
OpenCV 4.5
| Intermediate
- 9 Videos | 1h 8m 48s
- Includes Assessment
- Earns a Badge
Many image processing operations involve complex math, but when using OpenCV, much of that is abstracted from the developer. In this course, you'll gain a high-level understanding of advanced image operations in OpenCV. You'll begin by recognizing how to apply different blur operations to an image. These range from simple blurs to Gaussian and median blurs. While doing so, you'll examine their specific advantages and disadvantages and how to distinguish between them. Moving on, you'll outline how to highlight objects in an image using edge detection and augment images by adding shapes and objects to them. Finally, you'll discover how to work with pre-trained classifiers to detect people in an image and perform morphological transformations to emphasize or suppress specific parts of an image.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
apply and blur noise in an image
perform Gaussian and median blur operations to smoothen an image
apply the Laplacian, Sobel, and Canny operators to detect edges in an image
plot a circle, line, rectangle, and ellipse in an image -
introduce a text element, polygon, and arrow to an OpenCV image
use trained classifiers to detect eyes, faces, and people in images
apply morphological transformations such as erosion and dilation to emphasize specific features of an image
summarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 45sUP NEXT
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2.Adding and Blurring Noise in an Image with OpenCV9m 22s
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3.Using Gaussian and Median Blurs in OpenCV7m 30s
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4.Detecting Edges in an Image Using OpenCV12m 46s
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5.Drawing Shapes in Images Using OpenCV9m 58s
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6.Adding Polygons, Arrows, and Text to an OpenCV Image3m 49s
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7.Using OpenCV for People Detection in Images12m 3s
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8.Applying Morphological Transformations with OpenCV8m 34s
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9.Course Summary2m 2s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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