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4 December 1998 Segmentation of images through texture in spaces with three or more dimensions
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Abstract
The goal of image segmentation is to process the data given by the pixels so as to obtain a 'meaningful' partitioning of the image. The pixels of an image are represented by points in an n-dimensional space (spectral space). There is no universally accepted definition for texture, here texture means relation among pixels, given by the statistic of the image. In this work, an algorithm has been developed for segmenting color images (or multispectral), after performing a clustering over the set of points in spectral space. The algorithm captures texture information in order to segment the image. Finally, results obtained with synthetic and real aerial images are shown.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose A. Malpica and Raquel Viana "Segmentation of images through texture in spaces with three or more dimensions", Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); https://doi.org/10.1117/12.331859
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