期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2011
卷号：2
期号：2
页码：24
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The ability to organize and retrieve visual information such as images is becoming a crucial problem forspecialists, because processing visual information requires perceptual abilities not yet known to exist incomputational form. Therefore the ability to retrieve visual information is a complex problem. The mainretrieval pattern include the features of an image such as colour, and shape. The algorithms used tocalculate the similarity between extracted feature with an image database, that utilizes colour featuresof the images as the basis of comparison and retrieval. An object-oriented definition also involvesprescribing a set of pertinent features or pixels as well as a method such as a classification algorithmwith the appropriate training data. A low resolution satellite image of a rural scenario has been selectedfor the analysis. The entire image scene is divided into four equal quadrants. The Content-basedretrieval of image features have been carried out for the selected two quadrants I and II. The colorclassification of the image in two quadrants clearly indicates that there are four important features thatare common to the images1 The features identified include, Natural Vegetation, Water Bodies, Land,and Housing associated with the image. Further using the L*a*b color spectral distribution andhistogram techniques an estimation of the different features identified in the image has been made for allthe four quadrants. The results are presented in the paper.
关键词：Bayesian Semantic; segmentation; Satellite image; Features
