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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
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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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Introducing the Laplacian edge detector

The Laplacian edge detector uses only one kernel. It calculates second-order derivatives in a single pass and detects zero crossings. In general, the second-order derivative is extremely sensitive to noise.

The kernel for the Laplacian edge detector is shown in the following screenshot:

Fig 4.45: The Laplacian operator

The following is an example of gradient-based edge detection and Laplacian-based edge detection. We can see that the first-order derivative is calculated using gradient-based edge detection, and second-order derivatives are calculated using Laplacian edge detection

Fig 4.46: Gradient versus Laplacian edge detection
The objective of this book is to introduce you to the different edge detection concepts. If you want to read about these in more detail, you can go to https://en.wikipedia.org/wiki/Edge_detection.

In the next section, we will learn about an important concept called Canny edge detection.

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Applied Deep Learning and Computer Vision for Self-Driving Cars
Published in: Aug 2020Publisher: PacktISBN-13: 9781838646301

Authors (2)

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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

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