Paper
14 November 2007 New approach to texture saliency based on intrinsic relationship among texture features
Xi Chen, Hong Huo, Tao Fang, Deren Li
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902V (2007) https://doi.org/10.1117/12.751584
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xi Chen, Hong Huo, Tao Fang, and Deren Li "New approach to texture saliency based on intrinsic relationship among texture features", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902V (14 November 2007); https://doi.org/10.1117/12.751584
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Cited by 2 scholarly publications.
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KEYWORDS
Remote sensing

RGB color model

Visual process modeling

Visualization

Volume rendering

Image processing

Sun

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