.png){kind=icon}
返回
End-to-end edge detection on self-rectifying resistive memory array
.png){kind=icon}
PRE
AI
DOI：10.1039/d4tc03155e.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years, memristor that can integrate storage and computing has gained some attention in image processing. In this study, edge detection for noisy images is realized in a single-step manner by a new Gauss-Laplace operator in a circuit with a memristor array. It ensures the edge detection end-to-end and reduces hardware buffer consumption compared to the traditional two-step methods. Conductance values from our experimentally fabricated Cu2Te memory device are used in the circuit design, which mitigates the gap between theory and real-world device arrays. Furthermore, an interesting finding is that the edge detection results in the circuit are closer to the ideal ones after reducing the grayscale from 256 to 16, which means fewer input voltage levels and a simpler input circuit are possible. It is hoped this work can help design memristor array circuits for image processing. We fabricate the Cu2Te memristor with self-rectifying characteristics, and explore its application in edge detection, which is realized in a single step manner by a new Gauss-Laplace operator in a circuit with the memristor array.
期刊
IF:
5.1
论文数:
2.0W
被引数:
8.0W
机构
引用论文
A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing基于忆阻器的模拟水库计算系统，用于实时和节能的信号处理.png)
NATURE ELECTRONICS
OAAI
NATURE ELECTRONICSIF40.9
OAAI分享收藏Surface Modification of a Titanium Carbide MXene Memristor to Enhance Memory Window and Low-Power Operation碳化钛MXene忆阻器的表面改性以增强记忆窗口和低功耗操作
PREAI
分享收藏Label-Free LC-MS Profiling of Skeletal Muscle Reveals Heart-Type Fatty Acid Binding Protein as a Candidate Biomarker of Aerobic CapacityProteomes
OAAI
ProteomesIF0
OAAI分享收藏Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networksNATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏分享收藏
查看更多内容