Image Edge Detection with a Memristive Grid: a Massive Parallel Approach

被引：0
|
作者：
Sarmiento-Reyes, Arturo [1 ]
Zamudio Hernandez, Marco A. [1 ]
机构：
[1] INAOE, Elect Dept, POB 51, Puebla 72000, Pue, Mexico
来源：
2020 IEEE 11TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS) | 2020年
关键词：
Memristor; Memristive grids; Edge detection; Parallel processing;
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：
Image edge detection is a basic form of image processing that has been done by using an analog approach with the aid of nonlinear resistive grids. More recently, memristive grids have appeared as serious attempts to achieve edge detection. In this work, we resort to a specially tailored memristor grid that functions as a massive parallel analog processor for edge detection. The grid exhibits a remarkable performance for a set of benchmark images with the main merit figures and execution times.
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页数：4
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