Paper
14 November 1996 Rotational information in shape description
Ahmed Ghali, Mohammad Farhang Daemi
Author Affiliations +
Abstract
Using information theory, this investigation propose a novel technique for shape description which is invariant to translation, rotation and in most cases also to scale. This new numeric shape descriptor is based on the measure of rotational information content of an image. In this paper we first review some popular metric shape description features. These features are then used to analyze the feasibility of using the rotational information for shape description, and by means of a comparative study we show how the rotational information is related to well known metric shape descriptors such as area, circularity and elongation. Finally, the results obtained are discussed and analyzed, and conclusions drawn in terms of the suitability of the technique for shape description in image recognition problems.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed Ghali and Mohammad Farhang Daemi "Rotational information in shape description", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258214
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Cited by 1 scholarly publication.
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KEYWORDS
Shape analysis

Image processing

Sensors

Copper

Image classification

Image sensors

Computer vision technology

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