The Representation of Image Texture

Item

Title: en_US The Representation of Image Texture
Creator: en_US Riley, Michael Dennis
Date: 2004-10-20T20:08:38Z
Date Available: 2004-10-20T20:08:38Z
Date Issued: en_US 1981-09-01
Identifier: en_US AITR-649
uri: http://hdl.handle.net/1721.1/6937
Abstract: en_US This thesis explores how to represent image texture in order to obtain information about the geometry and structure of surfaces, with particular emphasis on locating surface discontinuities. Theoretical and psychophysical results lead to the following conclusions for the representation of image texture: (1) A texture edge primitive is needed to identify texture change contours, which are formed by an abrupt change in the 2-D organization of similar items in an image. The texture edge can be used for locating discontinuities in surface structure and surface geometry and for establishing motion correspondence. (2) Abrupt changes in attributes that vary with changing surface geometry ??ientation, density, length, and width ??ould be used to identify discontinuities in surface geometry and surface structure. (3) Texture tokens are needed to separate the effects of different physical processes operating on a surface. They represent the local structure of the image texture. Their spatial variation can be used in the detection of texture discontinuities and texture gradients, and their temporal variation may be used for establishing motion correspondence. What precisely constitutes the texture tokens is unknown; it appears, however, that the intensity changes alone will not suffice, but local groupings of them may. (4) The above primitives need to be assigned rapidly over a large range in an image.
Extent: 7982893 bytes; 6426139 bytes
Format: application/postscript; application/pdf
Language: en_US
Relation: en_US AITR-649

Item sets: AI Technical Reports (1964 - 2004)