Image Intensity Understanding

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6236

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DC Field	Value	Language
dc.creator	Horn, Berthold K.P.	-
dc.date	2004-10-04T14:46:51Z	-
dc.date	2004-10-04T14:46:51Z	-
dc.date	1975-08-01	-
dc.date.accessioned	2013-10-09T02:44:24Z	-
dc.date.available	2013-10-09T02:44:24Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-335	-
dc.identifier	http://hdl.handle.net/1721.1/6236	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Image intensities have been processed traditionally without much regard to how they arise. Typically they are used only to segment an image into regions or to find edge-fragments. Image intensities do carry a great deal of useful information about three-dimensional aspects of objects and some initial attempts are made here to exploit this. An understanding of how images are formed and what determines the amount of light reflected from a point on an object to the viewer is vital to such a development. The gradient-space, popularized by Huffman and Mackworth is a helpful tool in this regard.	-
dc.format	4020861 bytes	-
dc.format	2898439 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-335	-
dc.title	Image Intensity Understanding	-
Appears in Collections:	MIT Items

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