Abstract
Clutter metrics for predicting human target acquisition performance were discussed. The image metrics were designed to imitate some of the most important human perceptual cues such as global image complexity (clutter), local target to background distinctness (contrast) and texture. Three different clutter metrics were presented and applied to infrared and visible image databases. Results showed that the ICOM metric gave a good estimation of the number of image areas that can be classified as potential targets.
| Original language | English |
|---|---|
| Pages (from-to) | 114-119 |
| Number of pages | 6 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 4370 |
| DOIs | |
| State | Published - 1 Dec 2001 |
| Event | Targets and Backgrounds VII: Characterization and Representation - Orlando, FL, United States Duration: 16 Apr 2001 → 17 Apr 2001 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering