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You're reading from  Mastering OpenCV 4 with Python

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789344912
Edition1st Edition
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Author (1)
Alberto Fernández Villán
Alberto Fernández Villán
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Alberto Fernández Villán

Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
Read more about Alberto Fernández Villán

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Questions

  1. What is an image histogram?
  2. Calculate the histogram of a grayscale image using 64 bins.
  3. Add 50 to every pixel on a grayscale image (the result will look lighter) and calculate the histogram.
  4. Calculate the red channel histogram of a BGR image without a mask.
  5. What functions do OpenCV, NumPy, and Matplotlib provide for calculating histograms?
  6. Modify the grayscale_histogram.py script to compute the brightness of these three images (gray_image, added_image, and subtracted_image). Rename the script to grayscale_histogram_brightness.py.
  7. Modify the comparing_hist_equalization_clahe.py script to show the execution time of both cv2.equalizeHist() and CLAHE. Rename it to comparing_hist_equalization_clahe_time.py.

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Mastering OpenCV 4 with Python
Published in: Mar 2019Publisher: PacktISBN-13: 9781789344912

Author (1)

author image
Alberto Fernández Villán

Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
Read more about Alberto Fernández Villán