Image Processing using Pulse-Coupled Neural Networks :
Lindblad, Thomas.
Image Processing using Pulse-Coupled Neural Networks : Applications in Python / by Thomas Lindblad, Jason M. Kinser. - 3rd ed. 2013. - xxiv, 238 páginas 142 ilustraciones, 9 ilustraciones en color. recurso en línea. - Biological and Medical Physics, Biomedical Engineering, 1618-7210 .
Springer eBooks
Biological Models -- Programming in Python -- NumPy, SciPy and Python Image Library -- The PCNN and ICM -- Image Analysis -- Feedback and Isolation -- Recognition and Classification -- Texture Recognition -- Color and Multiple Channels -- Image Signatures -- Logic.
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 further develop their own applications.
9783642368776
10.1007/9783642368776 doi
TK5102.9
Image Processing using Pulse-Coupled Neural Networks : Applications in Python / by Thomas Lindblad, Jason M. Kinser. - 3rd ed. 2013. - xxiv, 238 páginas 142 ilustraciones, 9 ilustraciones en color. recurso en línea. - Biological and Medical Physics, Biomedical Engineering, 1618-7210 .
Springer eBooks
Biological Models -- Programming in Python -- NumPy, SciPy and Python Image Library -- The PCNN and ICM -- Image Analysis -- Feedback and Isolation -- Recognition and Classification -- Texture Recognition -- Color and Multiple Channels -- Image Signatures -- Logic.
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 further develop their own applications.
9783642368776
10.1007/9783642368776 doi
TK5102.9