Detection of objects composed of several regions using maximum likelihood based filters

Javier Garcia; Vincent Page; Philippe Refregier

doi:10.1117/12.524814

19 November 2003 Detection of objects composed of several regions using maximum likelihood based filters

Javier Garcia, Vincent Page, Philippe Refregier

Proceedings Volume 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life; (2003) https://doi.org/10.1117/12.524814
Event: 19th Congress of the International Commission for Optics: Optics for the Quality of Life, 2002, Florence, Italy

Abstract

The detection of objects composed of several regions by means of maximum likelihood based filters is analyzed. The target is assumed to have different unknown mean values in each of its regions. First, the cases where the number of actual distinct regions is known is considered. Also, we analyze the cases when an estimation of the actual configuration of the mean values in the target region is needed. A simplified filter that reduces the computational complexity is also proposed. The statistical performance is theoretically analyzed and tested in computer experiments dealing with real images.

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Javier Garcia, Vincent Page, and Philippe Refregier "Detection of objects composed of several regions using maximum likelihood based filters", Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); https://doi.org/10.1117/12.524814

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KEYWORDS

Optical filters

Statistical analysis

Target recognition

Target detection

Analytical research

Detection and tracking algorithms

Image filtering

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