Share Email Print
cover

Proceedings Paper

Saliency image of feature building for image quality assessment
Author(s): Xinuo Ju; Jiyin Sun; Peng Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The purpose and method of image quality assessment are quite different for automatic target recognition (ATR) and traditional application. Local invariant feature detectors, mainly including corner detectors, blob detectors and region detectors etc., are widely applied for ATR. A saliency model of feature was proposed to evaluate feasibility of ATR in this paper. The first step consisted of computing the first-order derivatives on horizontal orientation and vertical orientation, and computing DoG maps in different scales respectively. Next, saliency images of feature were built based auto-correlation matrix in different scale. Then, saliency images of feature of different scales amalgamated. Experiment were performed on a large test set, including infrared images and optical images, and the result showed that the salient regions computed by this model were consistent with real feature regions computed by mostly local invariant feature extraction algorithms.

Paper Details

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800311 (8 December 2011); doi: 10.1117/12.902055
Show Author Affiliations
Xinuo Ju, Xi'an Research Institute of High Technology (China)
Jiyin Sun, Xi'an Research Institute of High Technology (China)
Peng Wang, Xi'an Research Institute of High Technology (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

© SPIE. Terms of Use
Back to Top