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

Product typeBook
Published inNov 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789343731
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Computer Vision
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Author (1)
Sandipan Dey
Sandipan Dey
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Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.
Read more about Sandipan Dey

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Summary

We discussed a few important concepts primarily related to 2D DFT and its related applications in image processing, such as filtering in the frequency domain, and we worked on quite a few examples using scikit-image numpy.fft, scipy.fftpack, signal, and ndimage modules.

Hopefully, you are now clear on sampling and quantization, the two important image formation techniques. We have seen 2D DFT, Python implementations of FFT algorithms, and applications such as image denoising and restoration, correlation and convolution of the DFT in image processing, and application of convolution with an appropriate kernel in filter design and the application of correlation in template matching.

You should now be able to write Python code to do sampling and quantization using PIL/SciPy/sckit-image libraries and to perform 2D FT/IFT in Python using the FFT algorithm. We saw how easy it was to do basic 2D convolutions on images with some kernels.

In the next chapter, we'll discuss more on convolution...

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Hands-On Image Processing with Python
Published in: Nov 2018Publisher: PacktISBN-13: 9781789343731
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.
Read more about Sandipan Dey

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