Saliency image of feature building for image quality assessment

Xinuo Ju; Jiyin Sun; Peng Wang

doi:10.1117/12.902055

8 December 2011 Saliency image of feature building for image quality assessment

Xinuo Ju, Jiyin Sun, Peng Wang

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800311 (2011) https://doi.org/10.1117/12.902055
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Xinuo Ju, Jiyin Sun, and Peng Wang "Saliency image of feature building for image quality assessment", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800311 (8 December 2011); https://doi.org/10.1117/12.902055

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