Edge Detection of Binary Image Based on Memristors

Article Preview

Abstract:

Image processing is a type of memory-access-intensive application which puts a great pressure on memory access speed and bandwidth. Memristors has the ability of both memory and computing. With this property, we have designed and implemented image logic operations in memristor memory system, which could save a large amount of memory access at relatively low memory space price. Based on this work, we use image logic operations with memristors into edge detection of binary image. The main idea is as follows. First, we use XOR operation of neighboring pixels to determine whether there is an edge and get the vertical edges and horizontal edges, respectively. Then, we combine the edges in two directions to obtain the whole edge image of the original image. The experimental results show that, our design is right in function, and could reduce memory access considerably.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

2066-2070

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Sun J X. Image processing (Science Press, Beijing 2004).

Google Scholar

[2] Wulf W, McKee S. Hitting the Memory Wall: Implications of the Obvious, Computer Architecture News, 1995, 23(1): pp.20-24.

DOI: 10.1145/216585.216588

Google Scholar

[3] John L. Hennessy, David A. Patterson. Computer Architecture: a Quantitative Approach, San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., (2007).

Google Scholar

[4] Chua L O. Memristor-the missing circuit element. IEEE Trans Circuit Theory, 1971, 18: pp.507-519.

DOI: 10.1109/tct.1971.1083337

Google Scholar

[5] Stukov D B, Snider G S, Steward D R, et al. The missing memristor found. Nature, 2008, 453: pp.80-83.

Google Scholar

[6] Borghetti J, Snider G S, Williams R S. Memristive' switches enable 'statefu, logic operations via material implication. Nature, 2010, 464: pp.873-876.

DOI: 10.1038/nature08940

Google Scholar

[7] Lu W, Xiong Y, Chen L W. A scanning probe microscopy based assay for single-walled carbon nanotube metallicity. Nano Lett, 2009, 9: pp.1668-1672.

DOI: 10.1021/nl900194j

Google Scholar

[8] Zhou J, Yang X J, Wu J J, et al. A memristor-based architecture combining memory and image processing. Sci China Inf Sci, 2013, 56, doi: 10. 1007/s11432-013-4887-5.

Google Scholar