文章基本信息

标题：Image segmentation based on wavelet feature descriptor and dimensionality reduction applied to remote sensing
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作者：Ricardo D. da Silva ; William R. Schwartz ; Helio Pedrini 等
期刊名称：Chilean Journal of Statistics
印刷版ISSN：0718-7912
电子版ISSN：0718-7920
出版年度：2011
卷号：2
期号：2
页码：51-60
出版社：Chilean Statistical Society
摘要：Image segmentation is a fundamental stage in several domains of knowledge, such as computer vision, medical applications, and remote sensing. Using feature descriptors based on color, pixel intensity, shape, or texture, it divides an image into regions of interest that can be further analyzed by higher level modules. This work proposes a two-stage image segmentation method that maintains an adequate discrimination of details while allowing a reduction in the computational cost. In the rst stage, feature descriptors extracted using the wavelet transform are employed to describe and clas- sify homogeneous regions in the image. Then, a classication scheme based on partial least squares is applied to those pixels not classied during the rst stage. Experimen- tal results evaluate the eectiveness of the proposed method and compares it with a segmentation approach that considers Euclidean distance instead of the partial least squares for the second stage.
关键词：Image segmentation Partial least squares Wavelet transforms.