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Implementation of a Theory of Edge Detection

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dc.contributor.author Hildreth, Ellen C. en_US
dc.date.accessioned 2004-10-20T20:08:19Z
dc.date.available 2004-10-20T20:08:19Z
dc.date.issued 1980-04-01 en_US
dc.identifier.other AITR-579 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/6932
dc.description.abstract This report describes the implementation of a theory of edge detection, proposed by Marr and Hildreth (1979). According to this theory, the image is first processed independently through a set of different size filters, whose shape is the Laplacian of a Gaussian, ***. Zero-crossings in the output of these filters mark the positions of intensity changes at different resolutions. Information about these zero-crossings is then used for deriving a full symbolic description of changes in intensity in the image, called the raw primal sketch. The theory is closely tied with early processing in the human visual systems. In this report, we first examine the critical properties of the initial filters used in the edge detection process, both from a theoretical and practical standpoint. The implementation is then used as a test bed for exploring aspects of the human visual system; in particular, acuity and hyperacuity. Finally, we present some preliminary results concerning the relationship between zero-crossings detected at different resolutions, and some observations relevant to the process by which the human visual system integrates descriptions of intensity changes obtained at different resolutions. en_US
dc.description.provenance Made available in DSpace on 2004-10-20T20:08:19Z (GMT). No. of bitstreams: 2 AITR-579.ps: 19765702 bytes, checksum: fe59de0c3f368e4de0d5d9410be99573 (MD5) AITR-579.pdf: 7124937 bytes, checksum: f5bba707611a542231baf8e7d3e5ecd8 (MD5) Previous issue date: 1980-04-01 en
dc.format.extent 19765702 bytes
dc.format.extent 7124937 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-579 en_US
dc.title Implementation of a Theory of Edge Detection en_US

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