DocumentCode
2530429
Title
A real-time iconic image processor
Author
Lumia, Ronald ; Shneier, Michael O. ; Kent, Ernest W.
Author_Institution
National Bureau of Standards, Gaithersburg, MD
Volume
2
fYear
1985
fDate
31107
Firstpage
873
Lastpage
878
Abstract
The Sensory-Interactive Robotics Group at the National Bureau of Standards is producing PIPE, a pipelined image-processing engine, for research in low-level machine vision. PIPE processes sequences of images at field rates through a series of point and neighborhood operations. It is divided into a variable number of identical stages, each of which performs an independent set of operations on the image data stored in the stage. A stage control unit determines the sequence of operations performed within a stage on each image. This sequence is easily modified by a host computer during the inter-field interval when all of the stage control units can be totally reconfigured. Images flow through PIPE in several ways. In addition to the (standard pipeline) "forward" pathway, where an output image is sent to the next stage, an output image can also be sent to the same stage via a "recursive" pathway and to the previous stage via a "retrograde" pathway. As a result, PIPE can support relaxation operations, temporal neighborhood operations, and other local operations. Several processing modes are available in PIPE in addition to the usual "SIMD" mode of pipelined processors. In an "MIMD" mode, one of several operations is performed on a region of interest which can be defined by the host device or by previous image operations. PIPE also supports variable resolution pyramids where an image is compressed or expanded as it passes between stages.
Keywords
Engines; Machine vision; NIST; Pipelines; Process design; Real time systems; Robot sensing systems; Robot vision systems; Spatial resolution; US Government;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation. Proceedings. 1985 IEEE International Conference on
Type
conf
DOI
10.1109/ROBOT.1985.1087333
Filename
1087333
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