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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 FREE CHAPTER 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

Summary


In this chapter, we discussed a few advanced image processing problems. We started with the seam carving algorithm and demonstrated a couple of applications of the algorithm in context-aware image resizing and object or artifact removal from images with the scikit-image library.

Next, we discussed seamless cloning with an application to copy one object from one image to another using Python and OpenCV. Then we discussed the biharmonic inpainting algorithm and applied it to restore damaged pixels in an image using the scikit-image library. After that, we discussed variational methods in image processing with an application in image denoising with scikit-image again. Next, we discussed the image quilting algorithm and its application in texture synthesis and transfer of images. Finally, we ended this chapter with a discussion on an advanced face morphing algorithm. By the end of this chapter, the reader should be able to write Python codes for all these tasks.

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