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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
book

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

by Himanshu Singh
February 2019
Intermediate to advanced
177 pages
3h 2m
English
Apress
Content preview from Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
© Himanshu Singh 2019
Himanshu SinghPractical Machine Learning and Image Processinghttps://doi.org/10.1007/978-1-4842-4149-3_4

4. Advanced Image Processing Using OpenCV

Himanshu Singh1 
(1)
Allahabad, Uttar Pradesh, India
 
Now that we have looked at the basic image processing techniques using the Scikit Image library, we can move on to its more advanced aspects. In this chapter, we use one of the most comprehensive computer vision libraries: OpenCV and examine the following concepts:
  • Blending two images

  • Changing the contrast and brightness of an image

  • Adding text to images

  • Smoothing images

  • Changing the shape of images

  • Effecting image thresholding

  • Calculating gradients to detect edges

  • Performing histogram equalization

Blending Two Images

Suppose you have two ...
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Publisher Resources

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