By Peng-Yeng Yin
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Natural Scene Statistics and Salient Visual Features In L. Itti, G. K. Tsotsos (eds) Neurobiology of Attention (Elsevier Academia Press, 2005, 226232). Zhaoping L. (2005). The primary visual cortex creates a bottom-up saliency map In L. Itti, G. K. Tsotsos (eds) Neurobiology of Attention (Elsevier Academia Press, 2005, 570-575) 2 Real-Time Detection of Infrared Profile Patterns and Features Extraction Rubén Usamentiaga, Daniel F. García and Julio Molleda University of Oviedo Spain 1. Introduction The pressing demand to improve quality of manufactured products requires the use of the latest technologies in order to enhance the control systems that adjust manufacturing parameters.
Psychological Review, 95(1), 15-48 Treisman A. (1993). The perception of features and objects In Baddeley, A. and Weiskrantz, L. (eds) Attention: Selection, awareness, and control, Clarendon Press, Oxford, 1993 5–35.. Tsotsos J. ; Wai. & F. Nuflo, Modeling visual attention via selective tuning, Artificial Intelligence, 8(1-2), 1995, 507 – 547. Tsotsos J. K. (2005) Computacional foundations for attentive Processes. In L. Itti, G. K. Tsotsos (eds) Neurobiology of Attention (Elsevier Academia Press, 2005, 3-7).
For example, during steel strips manufacturing, uneven temperature across the width of the strips during rolling generates defects, due to differences in the contraction of the longitudinal fibers that make up a strip. , 2002). This work proposes a robust method to detect infrared profile patterns in real-time. The proposed method is based on the acquisition and processing of infrared profiles using an infrared line scanner. The detection of infrared patterns, and the change of pattern which occur during manufacturing, need to be carried out online with the production process in order to use this information to enhance the control systems during manufacturing.