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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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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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Histogram processing – histogram equalization and matching

Histogram processing techniques provide a better method for altering the dynamic range of pixel values in an image so that its intensity histogram has a desired shape. As we have seen, image enhancement by the contrast stretching operation is limited in the sense that it can apply only linear scaling functions.

 

 

Histogram processing techniques can be more powerful by employing non-linear (and non-monotonic) transfer functions to map the input pixel intensities to the output pixel intensities. In this section, we shall demonstrate the implementation of a couple of such techniques, namely histogram equalization and histogram matching, using the scikit-image library's exposure module.

Contrast stretching and histogram equalization with scikit-image

Histogram equalization uses a monotonic and a non-linear mapping which reassigns the pixel intensity values in the input image in such a way that the output image has a uniform distribution...

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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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