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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
book

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

by Bhaumik Vaidya
September 2018
Intermediate to advanced
380 pages
9h 40m
English
Packt Publishing
Content preview from Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Image thresholding

This section will demonstrate the use of Jetson TX1 for more computationally intensive computer vision applications, like image thresholding. Image thresholding is a very simple image segmentation technique used to extract important regions from a grayscale image, based on certain intensity values. In this technique, if the pixel value is greater than a certain threshold value then it is assigned one value, or else it is assigned another value.

OpenCV provides different types of thresholding techniques, and it is decided by the last argument of the function. These thresholding types are:

  • cv:.THRES H_BINARY: If the intensity of the pixel is greater than the threshold, then set the pixel intensity equal to the maxVal
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Publisher Resources

ISBN: 9781789348293