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Hands-On Image Processing with Python

You're reading from  Hands-On Image Processing with Python

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343731
Pages 492 pages
Edition 1st Edition
Languages
Author (1):
Sandipan Dey Sandipan Dey
Profile icon Sandipan Dey

Table of Contents (20) Chapters

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Getting Started with Image Processing 2. Sampling, Fourier Transform, and Convolution 3. Convolution and Frequency Domain Filtering 4. Image Enhancement 5. Image Enhancement Using Derivatives 6. Morphological Image Processing 7. Extracting Image Features and Descriptors 8. Image Segmentation 9. Classical Machine Learning Methods in Image Processing 10. Deep Learning in Image Processing - Image Classification 11. Deep Learning in Image Processing - Object Detection, and more 12. Additional Problems in Image Processing 1. Other Books You May Enjoy Index

Further reading


  • http://scikit-image.org/docs/dev/api/skimage.feature.html
  • https://docs.opencv.org/3.1.0/da/df5/tutorial_py_sift_intro.html
  • https://sandipanweb.wordpress.com/2017/10/22/feature-detection-with-harris-corner-detector-and-matching-images-with-feature-descriptors-in-python/
  • https://sandipanweb.wordpress.com/2018/06/30/detection-of-a-human-object-with-hog-descriptor-features-using-svm-primal-quadprog-implementation-using-cvxopt-in-python/
  • http://vision.stanford.edu/teaching/cs231b_spring1213/slides/HOG_2011_Stanford.pdf
  • http://cvgl.stanford.edu/teaching/cs231a_winter1415/lecture/lecture10_detector_descriptors_2015.pdf
  • https://www.cis.rit.edu/~cnspci/references/dip/feature_extraction/harris1988.pdf
  • https://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf
  • https://www.cs.cmu.edu/~efros/courses/LBMV07/Papers/viola-cvpr-01.pdf
  • https://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf
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