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Hands-On Image Processing with Python

You're reading from   Hands-On Image Processing with Python Expert techniques for advanced image analysis and effective interpretation of image data

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343731
Length 492 pages
Edition 1st Edition
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Getting Started with Image Processing 2. Sampling, Fourier Transform, and Convolution FREE CHAPTER 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

Questions


  1. Use the skimage.filters module's unsharp_mask() function with different values of the radius and amount parameters to sharpen an image.
  2. Use the PIL ImageFilter module's UnsharpMask() function with different values of the radius and percentparameters to sharpen an image.
  3. Sharpen a color (RGB) image using the sharpen kernel [[0,-1,0],[-1,5,-1],[0,-1,0]]. (Hint: use SciPy signal module's convolve2d() function for each of the color channels one by one.)
  4. With the SciPy ndimage module, sharpen a color image directly (without sharpening individual color channels one by one).
  5. Compute and display a Gaussian pyramid with the lena gray-scale input image using theskimage.transformmodule'spyramid_laplacian()function.
  1. Construct the Gaussian pyramid with the reduce() function of the transform module of scikit-image and Laplacian pyramid from the Gaussian pyramid and expand() function, with the algorithm discussed.
  2. Compute the Laplacian pyramid for an image and construct the original image from it.
  3. Show...
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