This paper illustrates a new object-oriented segmentation algorithm based on the CNN paradigm. The approach, which exploits rigorous model of the image contours, presents two remarkable features: i) it provides more accurate segmented objects than the ones obtained by other CNN-based techniques; ii) it makes use of CNN templates that take into account the hardware characteristics imposed by the CNNUM. Results carried out for benchmark video sequences highlight the capabilities of the proposed technique.
|Titolo:||New object-oriented segmentation algorithm based on the CNN paradigm|
|Data di pubblicazione:||2006|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/TCSII.2005.859571|
|Appare nelle tipologie:||1.1 Articolo in rivista|