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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
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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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Questions


  1. Show with a binary image that morphological opening and closing are dual operations. (Hint: apply opening on an image foreground and closing on the image background with the same structuring element)
  2. Automatically crop an image using the convex hull of the object in it (the problem is taken from https://stackoverflow.com/questions/14211340/automatically-cropping-an-image-with-python-pil/51703287#51703287). Use the following image and crop the white background:

The desired output image is shown as follows—the bounding rectangle to crop the image is to be found automatically:

  1. Use the maximum() and minimum() functions from skimage.filters.rank to implement morphological opening and closing with a grayscale image.
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Hands-On Image Processing with Python
Published in: Nov 2018Publisher: PacktISBN-13: 9781789343731

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