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http://dx.doi.org/10.7780/kjrs.2010.26.6.731

Region Growing Segmentation with Directional Features  

Lee, Sang-Hoon (Kyungwon University)
Publication Information
Korean Journal of Remote Sensing / v.26, no.6, 2010 , pp. 731-740 More about this Journal
Abstract
A region merging technique is suggested in this paper for the segmentation of high-spatial resolution imagery. It employs a region growing scheme based on the region adjacency graph (RAG). The proposed algorithm uses directional neighbor-line average feature vectors to improve the quality of segmentation. The feature vector consists of 9 components which includes an observation and 8 directional averages. Each directional average is the average of the pixel values along the neighbor line for a given neighbor line length at each direction. The merging coefficients of the segmentation process use a part of the feature components according to a given merging coefficient order. This study performed the extensive experiments using simulation data and a real high-spatial resolution data of IKONOS. The experimental results show that the new approach proposed in this study is quite effective to provide segments of high quality for the object-based analysis of high-spatial resolution images.
Keywords
Segmentation; region growing; high-spatial resolution; neighbor-line average feature; remote sensing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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