Title :
Regional segmentaion of multispectral image using local texture/spectral joint histgram
Author :
Wang, Leiguang ; Zheng, Chen ; Dai, Qinling
Author_Institution :
Sch. of Resource Sci., Southwest Forestry Univ., Kunming, China
Abstract :
We present a new method for segmentation of multispectral image. The method can be divided into three steps. Firstly, the image is partitioned into small regions using mean shift algorithm; then texture-spectral joint histograms are extracted from those regions; thirdly, an adaptive, multiscale merging process is defined to get final result. Experiments on several synthetic images show that the method is superior to two competitors.
Keywords :
image segmentation; image texture; image segmentation; local texture-spectral joint histgram; mean shift algorithm; multiscale merging process; multispectral image; regional segmentaion; synthetic images; texture-spectral joint histograms algorithm; Corporate acquisitions; Educational institutions; Filtering; Forestry; Image segmentation; Joints; Markov processes; Joint histrgam; mean shift segmentation; segmentation; spectral; texture;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964783
