Discrete annular regions of texture contribute independently to the analysis of shape from texture

被引:1
|
作者
Tan, Ken W. S. [1 ]
Dickinson, J. Edwin [1 ]
Badcock, David R. [1 ]
机构
[1] Univ Western Australia, Sch Psychol, Crawley, WA, Australia
来源
JOURNAL OF VISION | 2016年 / 16卷 / 11期
基金
澳大利亚研究理事会;
关键词
texture; modulated texture; RF texture; summation; probabilistic summation; annular area; RADIAL FREQUENCY PATTERNS; SIGNAL-DETECTION-THEORY; SURROUND SUPPRESSION; HUMAN-VISION; FORM VISION; DISCRIMINATION; ORIENTATION; CONTRAST; SENSITIVITY; MECHANISMS;
D O I
10.1167/16.11.10
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Radial frequency (RF) textures (created by applying a sinusoidal modulation of orientation to an otherwise circular texture) have been shown to be globally processed. RF textures differ from RF patterns (paths deformed from circular by a sinusoidal modulation in radius) in that the elements need not be constrained to a specific path. In the natural environment, objects differ from their background in texture, and a bounding contour can mark this textural change. This study examines the extent to which modulation of texture sums across space and whether the inclusion of a boundary between two areas provides a segmentation cue that limits the area over which summation occurs. RF textures were split into two annular regions and signal introduced to inner, outer, or both annuli Thresholds for the detection of RF modulation of orientation were not affected by the presence of a boundary. Further, it was found that the thresholds matched predictions for the independent contribution of the inner and outer areas to performance and that changing the relative phase of the modulation in the inner and outer annuli had no impact on performance, implying independent integration within the two annuli. Finally, integration of modulation information within the annuli was confirmed to ensure these results do apply to textures that are globally processed.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] From contour to texture: Static texture flow is a strong cue to surface shape
    Knill, D. C.
    PERCEPTION, 1997, 26 : 111 - 112
  • [32] SHAPE FROM TEXTURE - INTEGRATING TEXTURE-ELEMENT EXTRACTION AND SURFACE ESTIMATION
    BLOSTEIN, D
    AHUJA, N
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (12) : 1233 - 1251
  • [33] CT-BASED SHAPE AND TEXTURE METRICS INDEPENDENTLY DISCRIMINATE BENIGN FROM MALIGNANT RENAL MASSES
    Yap, Felix
    Shakir, Aliasger
    Varghese, Bino
    Cen, Steven
    Hwang, Darryl
    Lau, Christopher
    Yang, Lindsay
    Liu, Derek
    Rivas, Marielena
    Mohamed, Passant
    Lei, Xiaomeng
    Aron, Manju
    Desai, Mihir
    Gill, Inderbir
    Duddalwar, Vinay
    JOURNAL OF UROLOGY, 2019, 201 (04): : E1164 - E1165
  • [34] Shape operator and its application to texture analysis
    Tokyo Inst of Technology, Yokohama, Japan
    Kyokai Joho Imeji Zasshi, 10 (1730-1737):
  • [35] Statistical Analysis of the Influence of Imperfect Texture Shape and Dimensional Uncertainty on Surface Texture Performance
    Mo, Fan
    Shen, Cong
    Zhou, Jia
    Khonsari, Michael M.
    IEEE ACCESS, 2017, 5 : 27023 - 27035
  • [36] Investigation of Shape-from-Focus Precision by Texture Frequency Analysis
    Onogi, Shinya
    Kawase, Toshihiro
    Sugino, Takaaki
    Nakajima, Yoshikazu
    ELECTRONICS, 2021, 10 (16)
  • [37] Model of frequency analysis in the visual cortex and the shape from texture problem
    Massot, Corentin
    Herault, Jeanny
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2008, 76 (02) : 165 - 182
  • [38] Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee
    Thomson, Jessie
    O'Neill, Terence
    Felson, David
    Cootes, Tim
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2015, PT II, 2015, 9350 : 127 - 134
  • [39] Model of Frequency Analysis in the Visual Cortex and the Shape from Texture Problem
    Corentin Massot
    Jeanny Hérault
    International Journal of Computer Vision, 2008, 76 : 165 - 182
  • [40] Differentiation of Lipoma From Liposarcoma on MRI Using Texture and Shape Analysis
    Thornhill, Rebecca E.
    Golfam, Mohammad
    Sheikh, Adnan
    Cron, Greg O.
    White, Eric A.
    Werier, Joel
    Schweitzer, Mark E.
    Di Primio, Gina
    ACADEMIC RADIOLOGY, 2014, 21 (09) : 1185 - 1194