@inproceedings{827397f14e3d4819a53f576e240f9c9e,
title = "New approach to texture saliency based on intrinsic relationship among texture features",
abstract = "We revisited texture saliency, took it to color images, introduced it to airborne remote sensing image processing and then deduced an objective evaluation to local and global saliency. We proposed a model to implement saliency computation, decomposed input image into three channels, cut down the computational expense to the lowest level, extracted texture saliency from the different channels respectively, combined them in an innovative way, and then detected the saliency hierarchy. Distinct from previous approaches in the domain, our method based on biological model and had clear physical meaning. Our method could robustly work no matter how complex the input images were.",
keywords = "Computational attention, Global saliency, Image analysis, Local saliency, Remote sensing, Texture saliency, Visual attention, Visual search",
author = "Chen Xi and Huo Hong and Fang Tao and Li Deren",
year = "2007",
doi = "10.1117/12.751584",
language = "英语",
isbn = "9780819469540",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2007",
note = "MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications ; Conference date: 15-11-2007 Through 17-11-2007",
}