Realization of Memristive State Machine for Smart Edge Detector Applications

In this work, an oxide memristor was utilized for analog computing, which exhibited controllable transitions within its stable resistive states. The memristive ON and OFF states were considered to be logic 1 and logic 0, respectively, whereas the intermediate memristances represent the possible resistive states within the memristive state machine (MSM). This MSM was sprucely tailored to perform tunable edge detection. In contrast to other software based conventional edge detection systems such as Canny, Sobel, and Prewitt, the proposed MSM system performed better with around 8% improvement in accuracy of edge detection. With the level of simplicity and accuracy, the proposed system exhibits potential to be an efficient alternative to the conventional systems for edge detection and laid a concrete path for future low hardware based smart system design due to the suppression of analog-to-digital conversion.

Automated summary

In this work, an oxide memristor was used for analog computing and exhibited controllable transitions within its stable resistive states. The proposed memristive state machine, tailored for tunable edge detection, outperformed conventional software-based edge detection systems with an 8% improvement in accuracy. With its simplicity and accuracy, this system shows potential as an efficient alternative to conventional systems and paves the way for future low hardware-based smart system designs.