Communications – electrical: acoustic wave systems and devices – Acoustic image conversion – With memory means
Patent
1992-05-28
1997-03-18
Pihulic, Daniel T.
Communications, electrical: acoustic wave systems and devices
Acoustic image conversion
With memory means
367131, 382103, G06K 900
Patent
active
056129289
ABSTRACT:
A method and apparatus for classifying objects in images utilize means for selecting portions of those images which contain objects and means for classifying those objects based upon parameters of the selected portions, which parameters are useful for classifying the objects. The selecting means preferably is a shadow and highlight detector, a statistical window detector and a neural network window detector whose output is combined in a combined cuer. The parameters are determined from the greylevels and positions of pixels using one or more modules which perform certain mathematical operations on this data. Such parameters include edge parameters, smoothness, clutter, presence and characteristics of highlights and shadows, and texture. The invention is particularly useful for classifying objects in sonar images as natural or man-made.
REFERENCES:
patent: 5181254 (1993-01-01), Schweizer et al.
patent: 5214744 (1993-05-01), Schweizer et al.
Philipp F. Schweizer and Walter J. Petlevich, "Automatic Target Detection and Cuing System for an Autonomous Underwater Vehicle (AUV)", Proceedings of Sixth Symposium on Unmanned, Untethered Submersibles, Oct. 1989.
S. Y. Kung and J. N. Hwang, "A Unified Systolic Architecture for Artificial Neural Networks", Journal of Parallel and Distributed Computing 6, 358-387 (1989).
Dean A. Pomerleau, George L. Gusciora, David S. Touretzky and H. T. Kung, "Neural Network Simulation at Warp Speed: How We Got 17 Million Connections Per Second", Proc. 1988 IEEE Int'l. Conf. on Neural Networks, pp. 143-150.
Akira Iwata, Yukio Yoshida, Satoshi Matsuda, Yukimasa Sato and Nobuo Suzumura, "An Artificial Neural Network Accelerator Using General Purpose 24-Bits Floating Point Digital Signal Processors", Proc. 1989 IEEE Int'l Joint Conf. on Neural Networks, pp. II-171-175.
Haley Paul H.
Oravec James J.
Petlevich, Jr. Walter J.
Schweizer Philipp F.
Northrop Grumman Corporation
Pihulic Daniel T.
Sutcliff Walter G.
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