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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_5

5. Image Processing Using Machine Learning

Himanshu Singh1 
(1)
Allahabad, Uttar Pradesh, India
 
We start this chapter by examining a few of the most widely used image processing algorithms, then move on to machine learning implementation in image processing. The chapter at a glance is as follows:
  • Feature mapping using the scale-invariant feature transform (SIFT) algorithm

  • Image registration using the random sample consensus (RANSAC) algorithm

  • Image Classification using artificial neural networks

  • Image classification using convolutional neural networks (CNNs)

  • Image Classification using machine learning

  • Important Terms

Feature Mapping ...

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Publisher Resources

ISBN: 9781484241493Purchase LinkPublisher Website