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Hands-On Java Deep Learning for Computer Vision

You're reading from   Hands-On Java Deep Learning for Computer Vision Implement machine learning and neural network methodologies to perform computer vision-related tasks

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789613964
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Klevis Ramo Klevis Ramo
Author Profile Icon Klevis Ramo
Klevis Ramo
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Table of Contents (8) Chapters Close

Preface 1. Introduction to Computer Vision and Training Neural Networks 2. Convolutional Neural Network Architectures FREE CHAPTER 3. Transfer Learning and Deep CNN Architectures 4. Real-Time Object Detection 5. Creating Art with Neural Style Transfer 6. Face Recognition 7. Other Books You May Enjoy

Building a Java edge detection application

Now, we'll see different type of filters and apply them to different images. Also, we'll explore how the neural network is using convolution or edge detection.

Types of filters

There are other types of filters apart from the vertical and horizontal filters we've seen so far:

Two other popular filters are as follows:

  • Sobel: This filter simply adds a little bit more weight or value to the middle
  • Scharr: Besides adding even more weight to the middle, this filter also adds weight to the sides

As we can see, the zeros are placed in the middle column of the Vertical, Sobel, and Scharr filters. Hence, we can say that Sobel and Scharr measure the difference between the left...

You have been reading a chapter from
Hands-On Java Deep Learning for Computer Vision
Published in: Feb 2019
Publisher: Packt
ISBN-13: 9781789613964
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