期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2011
卷号：2
期号：5
页码：237-242
出版社：ARPN Publishers
摘要：Extraction of Region of Interest (ROI) from geographical map image is an important task of document analysis and recognition. The extracted segments are applied to different machine vision and embedded system. The task is very complex because of having overlapping objects, intersected lines etc in map. Keeping this in mind, the present thesis paper describes two methods that have been applied to extract efficient ROI for both road network and waterway from geographical map; one is color based segmentation applying K-means clustering and other is template based matching which overcome the previous limitations. Different from the existent methods, these proposed approaches are efficient both in segmentation results and further reconstruction also. And our experimental results are close to human perceptions; therefore our methods provide better and more robust performance than either of the individual methods. We hope these methods will find diverse applications in ROI extraction from geographical map and also image analysis.
