期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B1
页码：82-84
出版社：Copernicus Publications
摘要：Images are the most important data sources that used for problems in photogrammetry such as automatic object extraction, automatic orientation and so on. In the most problems, it needs to segment an image to unknown regions for further analysis. In this paper applied a model for segmentation of an image. The model is applied base on smoothed histogram of the image. First, the histogram of the image is smoothed with gaussian kernel and then, the regions with similar properties are detected based on the automatic extraction of peak and valley points in the smoothed histogram to segmentation of image. In the model, we consider the common areas between the objects as fuzzy areas. The model is tested on the Spot images from Iran
