Cellular Neural Networks for object-oriented segmentation

被引：0
|
作者：
Grassi, Giuseppe [1 ]
Vecchio, Pietro [1 ]
机构：
[1] Univ Lecce, Dipartimento Ingn Innovaz, I-73100 Lecce, Italy
来源：
PRIME 2006: 2ND CONFERENCE ON PH.D. RESEARCH IN MICROELECTRONIC AND ELECTRONICS, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
By exploiting the Cellular Neural Network paradigm, this paper present a new object-oriented segmentation algorithm that takes into account the hardware characteristics of the Cellular Neural Networks Universal Machine. In particular, by using a rigorous model of the image contours, this paper focuses on the edge extraction phase as well as on the performance evaluations. Simulation results, carried out for Stefan, Coast Guard, Car-phone and Football video sequences, show the effectiveness of the approach developed herein.
引用
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页码：253 / +
页数：2
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