Stochastic method of image edge detection using magnetic tunnel junction
- Authors
- Jang, Jaewon; Lee, Sangmin; Park, Wanjun
- Issue Date
- Nov-2024
- Publisher
- ELSEVIER
- Keywords
- Magnetic tunnel junctions; Telegraphic switching; Stochastic computing; Edge detection
- Citation
- JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, v.610, pp 1 - 5
- Pages
- 5
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
- Volume
- 610
- Start Page
- 1
- End Page
- 5
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211220
- DOI
- 10.1016/j.jmmm.2024.172503
- ISSN
- 0304-8853
1873-4766
- Abstract
- A hardware method for image edge detection is proposed by using stochastic behavior of magnetic tunnel junction. Telegraphic switching property of magnetic tunnel junction is employed for obtaining random bits which allows constructing a circuitry of a probabilistic bit-stream generator for stochastic computing. By applying the Roberts cross operator, we develop a stochastic way for edge detection with approximation of image gradient, which successfully conducts the role of image edge detection. Different edge detection results for different bit-stream lengths are shown in order to suggest the optimal bit-stream length for operation.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.