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You're reading from  Applied Deep Learning and Computer Vision for Self-Driving Cars

Product typeBook
Published inAug 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838646301
Edition1st Edition
Languages
Python
Tools
TensorFlowKeras
Concepts
Deep Learning
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Authors (2):
Sumit Ranjan
Sumit Ranjan
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Sumit Ranjan

Sumit Ranjan is a silver medalist in his Bachelor of Technology (Electronics and Telecommunication) degree. He is a passionate data scientist who has worked on solving business problems to build an unparalleled customer experience across domains such as, automobile, healthcare, semi-conductor, cloud-virtualization, and insurance. He is experienced in building applied machine learning, computer vision, and deep learning solutions, to meet real-world needs. He was awarded Autonomous Self-Driving Car Scholar by KPIT Technologies. He has also worked on multiple research projects at Mercedes Benz Research and Development. Apart from work, his hobbies are traveling and exploring new places, wildlife photography, and blogging.
Read more about Sumit Ranjan

Dr. S. Senthamilarasu
Dr. S. Senthamilarasu
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Dr. S. Senthamilarasu

Dr. S. Senthamilarasu was born and raised in the Coimbatore, Tamil Nadu. He is a technologist, designer, speaker, storyteller, journal reviewer educator, and researcher. He loves to learn new technologies and solves real world problems in the IT industry. He has published various journals and research papers and has presented at various international conferences. His research areas include data mining, image processing, and neural network. He loves reading Tamil novels and involves himself in social activities. He has also received silver medals in international exhibitions for his research products for children with an autism disorder. He currently lives in Bangalore and is working closely with lead clients.
Read more about Dr. S. Senthamilarasu

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Canny edge detection

The Canny edge is a popular edge-detection algorithm. It can detect a wide range of edges. The Canny edge detection algorithm was developed by John F. Canny in 1986. The Canny edge is widely used in the field of computer vision, as it has a wide range of applications. 

The process of Canny edge detection has the following criteria:

  • The edges of images should be detected with high accuracy.
  • Only one marks should be created for one image; there should not be any duplicate marks.
  • The detected edges should be correctly localized on the image.
  • Granular edges should also be detected.

The Canny edge detection algorithm is applied using the following steps: 

  1. In the first step, a Gaussian filter is applied to smooth the image. Smoothing the image removes the noise.
  2. Next, we find the intensity gradient of the image.
  3. Then, we apply nonmaximum suppression to remove any fake edge detection response.
  4. Next, we apply a double-threshold on the image to determine the accuracy...
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Applied Deep Learning and Computer Vision for Self-Driving Cars
Published in: Aug 2020Publisher: PacktISBN-13: 9781838646301
© 2020 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Sumit Ranjan

Sumit Ranjan is a silver medalist in his Bachelor of Technology (Electronics and Telecommunication) degree. He is a passionate data scientist who has worked on solving business problems to build an unparalleled customer experience across domains such as, automobile, healthcare, semi-conductor, cloud-virtualization, and insurance. He is experienced in building applied machine learning, computer vision, and deep learning solutions, to meet real-world needs. He was awarded Autonomous Self-Driving Car Scholar by KPIT Technologies. He has also worked on multiple research projects at Mercedes Benz Research and Development. Apart from work, his hobbies are traveling and exploring new places, wildlife photography, and blogging.
Read more about Sumit Ranjan

author image
Dr. S. Senthamilarasu

Dr. S. Senthamilarasu was born and raised in the Coimbatore, Tamil Nadu. He is a technologist, designer, speaker, storyteller, journal reviewer educator, and researcher. He loves to learn new technologies and solves real world problems in the IT industry. He has published various journals and research papers and has presented at various international conferences. His research areas include data mining, image processing, and neural network. He loves reading Tamil novels and involves himself in social activities. He has also received silver medals in international exhibitions for his research products for children with an autism disorder. He currently lives in Bangalore and is working closely with lead clients.
Read more about Dr. S. Senthamilarasu

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