Paper
29 June 2005 A smart sensor architecture based on emergent computation in an array of outer-totalistic cells
Author Affiliations +
Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.608264
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain
Abstract
A novel smart-sensor architecture is proposed, capable to segment and recognize characters in a monochrome image. It is capable to provide a list of ASCII codes representing the recognized characters from the monochrome visual field. It can operate as a blind's aid or for industrial applications. A bio-inspired cellular model with simple linear neurons was found the best to perform the nontrivial task of cropping isolated compact objects such as handwritten digits or characters. By attaching a simple outer-totalistic cell to each pixel sensor, emergent computation in the resulting cellular automata lattice provides a straightforward and compact solution to the otherwise computationally intensive problem of character segmentation. A simple and robust recognition algorithm is built in a compact sequential controller accessing the array of cells so that the integrated device can provide directly a list of codes of the recognized characters. Preliminary simulation tests indicate good performance and robustness to various distortions of the visual field.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Radu Dogaru, Ioana Dogaru, and Manfred Glesner "A smart sensor architecture based on emergent computation in an array of outer-totalistic cells", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.608264
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Cited by 9 scholarly publications.
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KEYWORDS
Image segmentation

Visualization

Image processing

Feature extraction

Image sensors

Binary data

Detection and tracking algorithms

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