Complex background suppression based on fusion of morphological Open filter and nucleus similar pixels bilateral filter
| Autor: | Huanzhang Lu, Fei Zhao, Shanzhu Xiao, Zhiyong Zhang |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Physics
Fusion Similarity (geometry) Pixel business.industry Pattern recognition Condensed Matter Physics Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials medicine.anatomical_structure Filter (video) medicine Clutter Artificial intelligence Bilateral filter business Point target Nucleus |
| Zdroj: | Infrared Physics & Technology. 55:454-461 |
| ISSN: | 1350-4495 |
| DOI: | 10.1016/j.infrared.2012.07.010 |
| Popis: | To reduce the influences of the heavy clutter on infrared small target detection, a new background suppression algorithm is presented in this paper which depends on fusion of two different filters. The Nucleus Similarity Degree (NSD) of each pixel is analyzed first, then morphological Open filter which favors point target enhancement and the Nucleus Similar Pixels Bilateral Filter (NSPBF) which favors background prediction are fused. The complex background suppression and target enhancement can be accomplished more effectively by the fusion. Experimental results indicates that the method is efficient for background suppression under the condition of heavy clutter. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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