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Algorithm for Target Detection in a Camouflaged Scene

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dc.contributor.author Khin, Thet Thet
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-08-06T12:46:16Z
dc.date.available 2019-08-06T12:46:16Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1915
dc.description.abstract This paper focuses on the detection of target object from various kinds of objects and camouflaged scene. We offer to apply a target detection method that developed based on the nonlinear correlation approach. The hidden target is extracted by ortho-normalization and normalized correlation between camouflaged scene and target vectors. Uniform intensity transformation technique is applied for both of them. Target positions can be detected not only for the same size of the target in a scene but also detect the various sizes and various oriented target included in scene. Several experiments in both noiseless and noisy environment have been done to confirm the effectiveness of the proposed system. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Algorithm for Target Detection in a Camouflaged Scene en_US
dc.type Article en_US


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