全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于视觉系统“What”和“Where”通路的图像显著区域检测*

, PP. 155-160

Keywords: 视觉系统,显著区域,特征显著性,注意转移

Full-Text   Cite this paper   Add to My Lib

Abstract:

受神经解剖学和心理学中有关视觉系统研究成果的启发,提出一个新的基于“what”和“where”通路的图像显著区域检测模型.该模型包括显著区发现和显著区转移这两个感知过程,首先通过度量统计特征显著性,找到第一个显著区域和潜在目标,然后计算当前潜在目标的吸引力以确定下一个显著区域及相应的潜在目标,以此循环直到得到整幅图像的信息.该方法应用于多幅自然图像的实验,结果证实该模型检测效果较好,并具有一定的抗噪能力.

References

[1]  Rybak I A, Gusakova V I, Golovan A V, et al. A Model of Attention-Guided Visual Perception and Recognition. Vision Research, 1998, 38(15-16): 2387-2400
[2]  Itti L, Koch C. Computational Modeling of Visual Attention. Nature Reviews Neuroscience, 2001, 2(3): 194-203
[3]  Zhang P, Wang R S. Detecting Salient Regions Based on Location Shift and Extent Trace. Journal of Software, 2004, 15(6): 891-898 (in Chinese) (张 鹏,王润生.基于视点转移和视区追踪的图像显著区域检测.软件学报, 2004, 15(6): 891-898)
[4]  Kronauer R E, Zeevi Y Y. Reorganization and Diversification of Signals in Vision. IEEE Trans on System, Man, Cybernetics, 1985, 15(1): 91-101
[5]  Long P H, Zheng N N. Multiresolution Edge Detection Based on Nonuniform Sampling and Selective Attention Mechanism. Acta Electronica Sinica, 1998, 26(5): 97-99 (in Chinese) (龙甫荟,郑南宁.基于非均匀采样及选择注意机制的多分辨率边缘检测.电子学报, 1998, 26(5): 97-99)
[6]  Creem S H, Proffitt D R. Defining the Cortical Visual Systems: “What”, “Where”, and ”How”. Acta Psychologica, 2001, 107(1-3): 43-68
[7]  Hyvrinen A, Oja E. Independent Component Analysis: Algorithms and Applications. Neural Networks, 2000, 13 (4-5): 411-430
[8]  Klein R M. Inhibition of Return. Trends in Cognitive Sciences, 2000, 4(4): 138-148
[9]  Zabrodsky H, Peleg S. Attentive Transmission. Journal of Visual Communication and Image Representation, 1990, 1(2): 189-198
[10]  Hyvrinen A. Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Trans on Neural Networks, 1999, 10 (3): 626-634
[11]  Image Sequence Server. 1997. http://i21www.ira.uka.de/image_sequences

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133