Title :
Topographic gray level multiscale analysis and its application to histogram modification
Author :
He, Chu ; Deng, Xin-Ping ; Xia, Gui-Song ; Yang, Wen ; Sun, Hong
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., Wuhan, China
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.
Keywords :
radar imaging; synthetic aperture radar; histogram modification; image multiscale gray level analysis; spatial relation; synthetic aperture radar image; topographic gray level multiscale analysis; topographic map; Histograms; Image coding; Level set; Pixel; Shape; Synthetic aperture radar; Level set; multiscale; synthetic aperture radar; topographic map;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5654256