학술논문
A new object-oriented segmentation algorithm based on CNNs - part I: edge extraction
Document Type
Conference
Author
Source
2005 9th International Workshop on Cellular Neural Networks and Their Applications Cellular Neural Networks and their Applications Cellular Neural Networks and Their Applications, 2005 9th International Workshop on. :158-161 2005
Subject
Language
ISSN
2165-0144
2165-0152
2165-0152
Abstract
By using the CNN paradigm, this paper and the companion one (Grasi et al., 2005) present a new object-oriented segmentation algorithm, which takes into account the hardware characteristics imposed by the CNNUM. In particular, by exploiting a rigorous model of the image contours, this paper focuses on CNN algorithms for edge extraction. Simulation results show that the approach provides more accurate edge extractions than the ones obtained by other CNN-based techniques.