A Visual Attention Operator Based on Morphological Models of Images and Maximum Likelihood Decision
作者： Roman M. Palenichka
关键词: Relevance (information retrieval) 、 Function (engineering) 、 Artificial intelligence 、 Image (mathematics) 、 TRACE (psycholinguistics) 、 Object detection 、 Operator (computer programming) 、 Computer science 、 Mathematical morphology 、 Computer vision 、 Human visual system model
摘要: The goal of the image analysis approach presented in this paper was two-fold. Firstly, it is development a computational model for visual attention humans and animals, which consistent with known psychophysical experiments neurology findings early vision mechanisms. Secondly, model-based design an operator computer vision, capable to detect, locate, trace objects interest images fast way. proposed operator, named relevance function, local that has maximums at centers locations supposed or their relevant parts. This several advantageous features detecting due function utilization maximum likelihood decision.
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sci-hub.st 参考文章(13)
V. Cantoni, S. Levialdi, Vito Roberto, Artificial vision : image description, recognition and communication Academic Press. ,(1997)
Martin D Levine, Martin D Levine, Vision in Man and Machine ,(1985)
Roman M. Palenichka, Maxim A. Volgin, Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function machine learning and data mining in pattern recognition. pp. 87- 102 ,(1999) , 10.1007/3-540-48097-8_8
P.K Sahoo, S Soltani, A.K.C Wong, A survey of thresholding techniques Graphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing. ,vol. 41, pp. 233- 260 ,(1988) , 10.1016/0734-189X(88)90022-9
Tony Lindeberg, Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a method for focus-of-attention International Journal of Computer Vision. ,vol. 11, pp. 283- 318 ,(1993) , 10.1007/BF01469346
Jean-Luc Starck, Fionn D. Murtagh, Albert Bijaoui, Image processing and data analysis: the multiscale approach Journal of the American Statistical Association. ,vol. 94, pp. 1389- ,(1998) , 10.1017/CBO9780511564352
Roman M. Palenichka, Peter Zinterhof, A fast structure-adaptive evaluation of local features in images Pattern Recognition. ,vol. 29, pp. 1495- 1505 ,(1996) , 10.1016/0031-3203(96)00001-5
John K. Tsotsos, Scan M. Culhane, Winky Yan Kei Wai, Yuzhong Lai, Neal Davis, Fernando Nuflo, Modeling visual attention via selective tuning Artificial Intelligence. ,vol. 78, pp. 507- 545 ,(1995) , 10.1016/0004-3702(95)00025-9
Daniel Reisfeld, Haim Wolfson, Yehezkel Yeshurun, Context-free attentional operators: the generalized symmetry transform International Journal of Computer Vision. ,vol. 14, pp. 119- 130 ,(1995) , 10.1007/BF01418978
L. Itti, C. Koch, E. Niebur, A model of saliency-based visual attention for rapid scene analysis IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 20, pp. 1254- 1259 ,(1998) , 10.1109/34.730558