| Paper: | IMDSP-P10.8 | ||
| Session: | Image Analysis | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Geophysical Signal, Image Processing | ||
| Title: | AN INDEPENDENT COMPONENT ANALYSIS BASED IMAGE CLASSIFICATION SCHEME | ||
| Authors: | Erwin Gilmore; Howard University | ||
| Preston Frazier; General Dynamics Corporation | |||
| Mohamed Chouikha; Howard University | |||
| Abstract: | In this paper, an image classification scheme based on Independent Component Analysis (ICA) is proposed. The scheme used independent components as image templates for which an image was projected. The output of the image projection was fed to a classifier. Three classifiers were presented using this approach. The experiment results were presented with extensive simulations documenting how well this method classified images. | ||
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