Published June 29, 2015
| Version v1
Publication
Image Segmentation Inspired by Cellular Models using hardware programming
Description
Several features of image segmentation make it suitable for bio–inspired techniques. It can be parallelized, locally solved and the input data can be easily encoded using representations inspired by nature. In this paper, we present a new hardware system that follows the Membrane Computing approach, and performs edge–based segmentation, noise removal and thresholding of digital images.
Additional details
Identifiers
- URL
- https://idus.us.es/handle/11441/26206
- URN
- urn:oai:idus.us.es:11441/26206
Origin repository
- Origin repository
- USE