| Title: | APPLICATION OF ORTHOGONAL VARIANT MOMENTS TO COMPUTER VISION |
| DOI No: | 10.1142/9789812799470_0072 |
| Source: | COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL (pp 441-446)
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| Author(s): | JOSÉ ANTONIO MARTÍN
http://www.ucm.es Faculta de Informática, Universidad Complutense de Madrid, Madrid, Madrid 28040, Spain
MATILDE SANTOS
http://www.ucm.es Faculta de Informática, Universidad Complutense de Madrid, Madrid, Madrid 28040, Spain
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| Abstract: | The Orthogonal Variant Moments (OVM) are proposed in this paper as a way characterizing any function or signal in general. Our approach to the theory of visual perception is based on the study of the low level vision system by Orthogonal Variant Moments while most of the works on this field use invariant-moments. An application of this method to computer-vision proves the efficiency of this approach. |
| Keywords: | Computer-Vision; Signal-Processing; Statistical-Moments; Variant-Moments
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| Full Text: | View full text in PDF format (443KB) |
| TOC: | Back to Table of Contents |
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