文章基本信息

标题：Improving Quantitative Measurements using Different Segmentation Techniques for Satellite Images
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作者：K. Ravi Kumar ; K. Kavindra Kumar ; R.S.V.M.Krishna 等
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：6
页码：2015-2022
出版社：Technopark Publications
摘要：Image segmentation is the most practical approach among all virtually automated image recognition systems. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. This paper deals with different image segmentation algorithms. The quality of satellite image is affected by atmosphere, temperature etc. By the usage of various segmentation techniques ,the image is divided into parts which have strong correlation to reflect the real world body. The different techniques involved in image segmentation are as follows, Edge based image segmentation, Adaptive image thresolding, Watershed segmentation, Region growing segmentation, Quadtree segmentation and Fuzzy c-means segmentation .Using these techniques the quantitative measurements of the satellite images can be improved