Title :
Implementing the grayscale wave metric on a cellular array processor chip
Author :
Hillier, Dániel ; Dudek, Piotr
Author_Institution :
Jedlik Lab., Peter Pazmany Catholic Univ., Budapest
Abstract :
Algorithms designed for machine vision applications such as medical imaging, surveillance, etc., very often require some kind of comparison between images. The non-linear wave metric can measure both the shape and the area difference between two objects in one single operation. We present the implementation of the wave metric on the SCAMP chip that combines the benefits of a highly selective metric with high speed, efficient execution.
Keywords :
cellular neural nets; computer vision; microprocessor chips; neural chips; SCAMP chip; cellular array processor chip; cellular nonlinear network; grayscale wave metric; machine vision; wave computing; Area measurement; Biomedical imaging; Cellular networks; Cellular neural networks; Gray-scale; Image processing; Machine vision; Pixel; Shape measurement; Surveillance; Cellular Nonlinear Networks; SCAMP; wave computing; wave metric;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2008. CNNA 2008. 11th International Workshop on
Conference_Location :
Santiago de Compostela
Print_ISBN :
978-1-4244-2089-6
Electronic_ISBN :
978-1-4244-2090-2
DOI :
10.1109/CNNA.2008.4588662