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Some distinguishing characteristics of contour and texture phenomena in imagesThe development of generalized contour/texture discrimination techniques is a central element necessary for machine vision recognition and interpretation of arbitrary images. Here, the visual perception of texture, selected studies of texture analysis in machine vision, and diverse small samples of contour and texture are all used to provide insights into the fundamental characteristics of contour and texture. From these, an experimental discrimination scheme is developed and tested on a battery of natural images. The visual perception of texture defined fine texture as a subclass which is interpreted as shading and is distinct from coarse figural similarity textures. Also, perception defined the smallest scale for contour/texture discrimination as eight to nine visual acuity units. Three contour/texture discrimination parameters were found to be moderately successful for this scale discrimination: (1) lightness change in a blurred version of the image, (2) change in lightness change in the original image, and (3) percent change in edge counts relative to local maximum.
Document ID
Document Type
Conference Paper
Jobson, Daniel J. (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: Visual information processing; Proceedings of the Meeting, Orlando, FL, Apr. 20-22, 1992 (A93-32438 12-61)
Subject Category
Distribution Limits

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IDRelationTitle19930048441Analytic PrimaryVisual information processing; Proceedings of the Meeting, Orlando, FL, Apr. 20-22, 1992