Image Processing using Pulse-Coupled Neural Networks: Applications in Python - Info and Reading Options
By Thomas Lindblad and Jason M. Kinser
"Image Processing using Pulse-Coupled Neural Networks: Applications in Python" was published by Springer in 2013 - Berlin, Heidelberg and it has 238 pages.
“Image Processing using Pulse-Coupled Neural Networks: Applications in Python” Metadata:
- Title: ➤ Image Processing using Pulse-Coupled Neural Networks: Applications in Python
- Authors: Thomas LindbladJason M. Kinser
- Number of Pages: 238
- Publisher: Springer
- Publish Date: 2013
- Publish Location: Berlin, Heidelberg
Edition Identifiers:
- ISBN-13: 9783642368769 - 9783642368776
- All ISBNs: 9783642368769 - 9783642368776
AI-generated Review of “Image Processing using Pulse-Coupled Neural Networks: Applications in Python”:
"Image Processing using Pulse-Coupled Neural Networks: Applications in Python" Description:
Open Data:
Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. This book reviews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction. The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to
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