Computer ScienceEngineeringEnvironmental Science

Chu He, Xinping Deng, Gui-Song Xia, Wen Yang, Hong Sun

2010.9.12010 IEEE International Conference on Image Processing

DOI: 10.1109/icip.2010.5654256

tlooto Summary

A framework for multi-scale gray level analysis of images defines scales based on gray levels and organizes the basic “atoms” with a topographic map and applies it to histogram modification of Synthetic Aperture Radar images.

Abstract

This paper describes a framework for multi-scale gray level analysis of images. It defines scales based on gray levels and organizes the basic “atoms” with a topographic map. The aim of this approach is to separate a large number of pixels concentrating in a narrow range of gray values. The main advantage of the methodology is that it allows manipulating pixels according to gray levels and spatial relations simultaneously. We apply it to histogram modification of Synthetic Aperture Radar (SAR) images. The experiments on displaying and classification prove the superiority of the approach.

Citation format

HE, Chu, et al. Topographic gray level multiscale analysis and its application to histogram modification. 2010 IEEE International Conference on Image Processing, 2010: 369–372.