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Kydon: An autonomous, multi-layer image-understanding system: Lower layers

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 1996年第1期9卷 43-52页

作者： Bourbakis, NG Mertoguno, JS UNIV CRETE RETHIMNONCRETEGREECE

In this paper, an autonomous, application-specific system architecture, called KYDON, is presented. The KYDON architecture consists of k layers of array processors. The lowest four layers compose the KYDON's low-level image-processing group, and the rest of the layers compose the higher-level processing groups. The interconnectivity at each array processor is based on a full hexagonal mesh structure. Each processing element (PE) of an array processor is a simple autonomous unit, including its own control unit (CU). This paper deals with the internal structural design of the PEs at the lower layers. It also provides a description of the low-level image-processing tasks performed by KYDON's lower-array processors. More specifically, the lowest layer is a 2-D photoarray, which captures images from the environment. The next three layers perform image processing and generate the graphic forms of the objects extracted from the input image. The next layers process the graphs provided by the lower layers in order to achieve an image understanding of the input image. An important feature of KYDON is that KYDON does not have any host computer or control processor to handle I/O and other miscellaneous tasks.

关键词： processor arrays application-specific array processor architectures parallel image processing autonomous systems distributed image representation

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