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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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Questions

  1. Use Hough transform to detect ellipses from an image with ellipses with scikit-image.
  2. Use scikit-image transform module's probabilistic_hough_line() function to detect lines from images. How is it different than the hough_line()?
  3. Use scikit-image filter module's try_all_threshold() function to compare different types of local thresholding techniques to segment a gray-scale image into a binary image.
  4. Use the ConfidenceConnected and VectorConfidenceConnected algorithms for the MRI-scan image segmentation using SimpleITK.
  5. Use the correct bounding rectangle around the foreground object to segment the whale image with the GrabCut algorithm.
  6. Use scikit-image segmentation module's random_walker() function to segment an image starting from a few marked locations defined by markers.
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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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