Contour detection threshold: repeatability and learning with 'contour cards'

被引:32
|
作者
Pennefather, PM
Chandna, A
Kovacs, I
Polat, U
Norcia, AM
机构
[1] Alder Hey Childrens Hosp, Liverpool L12 2AP, Merseyside, England
[2] Rutgers State Univ, Vis Res Lab, New Brunswick, NJ 08903 USA
[3] Inst Vis Res, IL-76105 Rehovot, Israel
[4] Smith Kettlewell Eye Res Inst, San Francisco, CA 94115 USA
来源
SPATIAL VISION | 1999年 / 12卷 / 03期
关键词
amblyopia; strabismus; spatial interaction; contour integration; perceptual learning;
D O I
10.1163/156856899X00157
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Human observers are able to locate contours that are defined solely on the basis of long-range, orientation-domain correlations. The integrity of the mechanisms responsible for second-order contour detection is disrupted by amblyopia (Kovacs et nl., 1996; Hess et al., 1997) and it is therefore of interest to develop methods for assessing pediatric patients undergoing treatment for amblyopia. In this study, we have determined the inter-observer and test-retest reliability of a card-based test of second-order contour integration. The magnitude of practice effects was also assessed in both adult and pediatric patient groups. Contour detection thresholds were measured for a closed contour, defined by Gabor patches, embedded in a randomly oriented Gabor-patch background. The visibility of the contour was controlled by varying the density of the background elements. Thresholds, defined in terms of the ratio of contour element spacing to average background spacing were measured with a clinical staircase procedure. Thresholds measured by two observers differed on average by 0.023 +/- 0.075 or about one half the increment between cards. Children and adults showed only small practice effects (0.022 +/- 0.051 vs 0.053 +/- 0.077, respectively) and average unsigned differences between repeated measures were equivalent to approximately 1 card across groups. A card-based test of second-order contour integration produces reliable estimates of contour integration performance in normal and amblyopic observers, including children.
引用
收藏
页码:257 / 266
页数:10
相关论文
共 50 条
  • [21] Detection of Lung Contour with Closed Principal Curve and Machine Learning
    Peng, Tao
    Wang, Yihuai
    Xu, Thomas Canhao
    Shi, Lianmin
    Jiang, Jianwu
    Zhu, Shilang
    JOURNAL OF DIGITAL IMAGING, 2018, 31 (04) : 520 - 533
  • [22] Detection of Lung Contour with Closed Principal Curve and Machine Learning
    Tao Peng
    Yihuai Wang
    Thomas Canhao Xu
    Lianmin Shi
    Jianwu Jiang
    Shilang Zhu
    Journal of Digital Imaging, 2018, 31 : 520 - 533
  • [23] Can Deep Learning Learn the Principle of Closed Contour Detection?
    Zhang, Xinhua
    Watkins, Yijing
    Kenyon, Garrett T.
    ADVANCES IN VISUAL COMPUTING, ISVC 2018, 2018, 11241 : 455 - 460
  • [24] A Shape Constrained Parametric Active Contour Model for Breast Contour Detection
    Lee, Juhun
    Muralidhar, Gautam S.
    Reece, Gregory P.
    Markey, Mia K.
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 4450 - 4453
  • [25] Contour detection of hippocampus using dynamic contour model and region growing
    Jang, DP
    Lee, DS
    Kim, SI
    PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING, 1997, 19 : 763 - 766
  • [26] A novel Active Contour Model algorithm for contour detection in complex objects
    Gargano, G.
    Bellotti, R.
    De Carlo, F.
    Tangaro, S.
    Tommasi, E.
    Castellano, M.
    Cerello, P.
    Cheran, S. C.
    Fulcheri, C.
    2007 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2007, : 49 - +
  • [27] The simplex flicker threshold contour for the zebra finch
    Crozier, WJ
    Wolf, E
    JOURNAL OF GENERAL PHYSIOLOGY, 1941, 24 (05): : 625 - 633
  • [28] A simple scheme for contour detection
    Joshi, Gopal Datt
    Sivaswamy, Jayanthi
    VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1, 2006, : 236 - +
  • [29] Segmented snake for contour detection
    Wong, YY
    Yuen, PC
    Tong, CS
    PATTERN RECOGNITION, 1998, 31 (11) : 1669 - 1679
  • [30] Bleeding contour detection for craniotomy
    Tang, Jie
    Gong, Yi
    Xu, Lixin
    Wang, Zehao
    Zhang, Yucheng
    Ren, Zifeng
    Wang, He
    Xia, Yijing
    Li, Xintong
    Wang, Junchen
    Jin, Mengdi
    Su, Baiquan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 73