Statistical approaches to early vision processes need a huge amount of computing power. These algorithms can usually be implemented on parallel computing structures. Although CNN is a fast parallel processor array for image processing, it is basically a deterministic analog circuit. The present work demonstrates the use of the CNN-UM architecture for statistical image segmentation.
|Number of pages||6|
|Publication status||Published - dec. 1 1996|
|Event||Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - Seville, Spain|
Duration: jún. 24 1996 → jún. 26 1996
|Other||Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96|
|Period||6/24/96 → 6/26/96|
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