Computer Science ›› 2018, Vol. 45 ›› Issue (8): 223-228.doi: 10.11896/j.issn.1002-137X.2018.08.040

Special Issue: Medical Imaging

• Graphics, Image & Pattern Recognition • Previous Articles     Next Articles

Eye-movement Analysis of Visual Similarity Perception on Synthesized Texture Images

GUO Xiao-ying1, LI Liang2, GENG Hai-jun1   

  1. School of Software Engineering,Shanxi University,Taiyuan 030006,China1
    Ritsumeikan University,Kyoto 6038577,Japan2
  • Received:2017-11-10 Online:2018-08-29 Published:2018-08-29

Abstract: Global features and local features are very important for texture visual perception.This paper investigated the influence of the global features and local features of texture on the eye movement pattern and the relationship between the eye movement pattern and visual similarity selection.Firstly,the texture images were synthesized by separately controlling global textural features and local textural features with primitive,grain,and point configuration (PGPC) texture model,which is a mathematical morphology based texture model.In the experiment,three scenes were utilized.For each scene,three textures (A,B,and S) were included.Secondly,an experiment was conducted on visual similarity selection to acquire eye movement data while the subjects were viewing the visual similarities of texture scenes under the task of “Which texture is more similar to texture S,texture A or texture B?”.Experimental data were obtained with an eye tracker Tobii T60 by conducting two tests on 89 subjects.The collected eye-tracking data were analyzed in terms of fi-xation point variance in each ROI and fixation transfer count between different ROIs.Analysis results indicate that the global features and local features of texture influence the eye-movement pattern,namely,the texture image that is glo-bally similar to the compared texture contains dispersed fixation points,and the texture image that is locally similar to the compared texture contains concentrated fixation points.Besides,the final visual similarity selection is related to the visual search between different ROIs.

Key words: Eye-movement data, Eye-tracker, Similarity perception, Texture image, Texture synthesis

CLC Number: 

  • TP391
[1]NAVON D.Forest before trees:The precedence of global features in visual perception[J].Cognitive Psychology,1977,9(3):353-383.
[2]GRICE G R,CANHAM L,BOROUGHS J M,et al.Forest before trees?It depends where you look[J].Attention Perception &Psychophysics,1983,33(2):121-128.
[3]DULANEY C L,MARKS W.The effects of training and transfer on global/local processing[J].Acta Psychologica,2007,125(2):203-220.
[4]LI L,ASANO A,ASANO C M,et al.Statistical quantification of the effects of viewing distance on texture perception[J].Journal of The Optical Society of America Aoptics Image Science and Vision,2013,30(7):1394-1403.
[5]MILLS M,DODD M D.Which way is which? Examing global/local processing with symbolic cues[J].Journal of Experimental Psychology General,2014,143(4):1429-1436.
[6]TAMURA H,MORI S,YAMAWAKI T,et al.Textural Features Corresponding to Visual Perception[J].Systems Man and Cybernetics,1978,8(6):460-473.
[7]AMADASUN M,KING R A.Textural features correspondingto textural properties[J].Systems Man and Cybernetics,1989,19(5):1264-1274.
[8]LI L,ASANO A,ASANO C M,et al.Statistical analysis of human visual impressions on morphological image manipulation of gray scale textures[J].Optical Review,2010,17(2):90-96.
[9]DEARBORN W F.Book Review:How People Look at Pictures:A Study of the Psychology of Perception in Art Guy Thomas Buswell[J].The Elementary School Journal,1936,37(1):1,66-67.
[10]NELSON W W,LOFTUS G R.The functional visual field du-ring picture viewing.
[J].Journal of Experimental Psychology:Human Learning & Memory,1980,6(4):391-399.
[11]CHUA H F,BOLAND J E,NISBETT R E,et al.Cultural variation in eye movements during scene perception[J].Proceedings of the National Academy of Sciences of the United States of America,2005,102(35):12629-12633.
[12]GODWIN H J,HOUT M C,MENNEER T,et al.Visual Similarity Is Stronger Than Semantic Similarity in Guiding Visual Search for Numbers[J].Psychonomic Bulletin & Review,2014,21(3):689-695.
[13]HWANG Y M,LEE K C.Using an Eye-Tracking Approach to Explore Gender Differences in Visual Attention and Shopping Attitudes in an Online Shopping Environment[J/OL].http://dx.doi.org/10.1080/10447318.2017.1314611.
[14]HAN Y C.The Sequential Quality of Eye Movement in Obser-ving Different Shapes and Colors[J].Psychological Science,1997,20(1):40-43.(in Chinese)韩玉昌.观察不同形状和颜色时眼运动的顺序性[J].心理科学,1997,20(1):40-43.
[15]TAO Y.Research on eye movement perception to the pictures[J].Psychological Science,2001,24(2):194-196.(in Chinese)陶云.图画知觉过程的眼动研究进展[J].心理科学,2001,24(2):194-196.
[16]CAO X H.CAO L R.A Eye Movements Study on Sampling Traits for Irregular Geometric Figure Recognition[J].Acta Psychologica Sinica,2005,37(6):748-752.(in Chinese)曹晓华,曹立人.不规则几何图形识别取样特征的眼动研究[J].心理学报,2005,37(6):748-752.
[17]YANG W.Research on the difference bettween experts and no-vice When appreciating photograph works[D].Tianjin:Tianjin Normal University,2008.(in Chinese)杨文.专家与新手观看明星黑白头像图片的眼动研究[D].天津:天津师范大学,2008.
[18]GUO X.Visual analysis method of eye tracking signal in subjective image quality assessment[J].Modern Electronics Technique,2015(12):70-73.(in Chinese)郭昕.图像质量主观评价中眼动信号的可视化分析方法[J].现代电子技术,2015(12):70-73.
[19]JIANG W M,YANG Z X,JIANG M,et al.A Study on Usability of Application Icon Design in Smart Phones[J].Chinese Journal of Ergonomics,2015,21(3):21-24.(in Chinese)蒋文明,杨志新,蒋敏,等.智能手机应用程序图标设计的可用性研究[J].人类工效学,2015,21(3):21-24.
[20]ASANO A,OHKUBO T,MUNEYASU M,et al.Primitive and point configuration texture model and primitive estimation using mathematical morphology[C]∥Scandinavian Conference on Ima-ge Analysis.2003:178-185.
[21]LI L,ASANO A,ASANO C M,et al.Dual Primitive Estimation of Textures[J].IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2011,94(4):1165-1169.
[22]YANG L,LI L,ASANO C M,et al.Primitive and grain estimation using flexible magnification for a morphological texture model[C]∥International Symposium on Memory Management.2011:190-199.
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[9] . [J]. Computer Science, 2008, 35(6): 251-254.
[10] . [J]. Computer Science, 2007, 34(1): 187-190.
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