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SCIENTIA SINICA Informationis, Volume 47 , Issue 7 : 863(2017) https://doi.org/10.1360/N112016-00057

Color image edge extraction using memristor-based CNN

More info
  • ReceivedSep 3, 2016
  • AcceptedDec 14, 2016
  • PublishedApr 27, 2017

Abstract


Funded by

国家自然科学基金(61372139,61571372,61101233,60972155)

新世纪优秀人才支持计划(教技函[2013]47号)

教育部“春晖计划"科研项目(Z2011148)

中央高校基本科研业务费专项资金(XDJK2016A001,XDJK2014A009,XD JK2016D008)

留学人员科技活动项目择优资助经费(国家级,优秀类,渝人社办(2012)186号)

重庆市高等学校优秀人才支持计划(渝教人(2011)65号)

  • Figure 1

    Topology of a CNN, in which the squares represent cells with identical structure

  • Figure 2

    (Color onine) The circuit representation of an SM-CNN cell

  • Figure 3

    The structure of a spintronic memristor based on magnetic-domain-wallmotion

  • Figure 4

    (Color online) Characteristic curves of the spintronic memristor. (a) $V$-$I$ Characteristics;(b) threshold characteristics ($V=1.05, f=10$ MHz, parameter of memristor: $D=1000$ nm, $h=7$ nm, $z=10$ nm, Rel = 50, GMR = 12)

  • Figure 5

    (Color online) Original images. (a) Lena; (b) House

  • Figure 6

    The figure of Lena's edge extraction. (a) Sobel; (b) Robert; (c) Prewitt; (d) Log; (e) Canny; (f) color image edge extraction base on self-adaptive threshold (with space factor)

  • Figure 7

    The figure of House's edge extraction. (a) Sobel; (b) Robert; (c) Prewitt; (d) Log; (e) Canny; (f) color image edge extraction base on self-adaptive threshold (with space factor)

  • Figure 9

    The noise polluted figure of Lena's edge extraction. (a) Sobel; (b) Robert; (c) Prewitt; (d) Log; (e) Canny; protectłinebreak (f) color image edge extraction base on self-adaptive threshold (with space factor)

  • Figure 10

    The noise polluted figure of House's edge extraction. (a) Sobel; (b) Robert; (c) Prewitt; (d) Log; (e) Canny; (f) color image edge extraction base on self-adaptive threshold (with space factor)

  • Table 1   Three primary colors vision functions
    Color Wavelength (nm) Luminosity function
    Red 440 0.114
    Green 500 0.587
    Blue 660 0.299
  • Table 2   A comparison of FOM among all kinds of edge detection algorithms
    Test image Sobel (dB) Robert (dB) Prewitt (dB) Log (dB) Canny (dB) Self-adaptive (dB)
    Lena 0.3218 0.3904 0.4371 0.4932 0.5197 0.8492
    House 0.3102 0.3635 0.4062 0.4604 0.4963 0.8177
  • Table 3   A comparison of PNSR among all kinds of edge detection algorithms
    Test image Sobel (dB) Robert (dB) Prewitt (dB) Log (dB) Canny (dB) Self-adaptive (dB)
    Lena 13.6739 13.6466 13.6772 10.0051 8.5541 22.5676
    House 14.2789 14.9443 14.4847 9.7481 7.2392 24.3161