Image segmentation techniques are very useful in the analysis of aerial images, biomedical images and seismic images as well as in the automation of industrial applications. The paper presents a few texture-specific features for the segmentation of texture images. We will present four approaches to texture segmentation, viz, descriptor based, heuristic function based, defuzzified feature based and Mask feature based. We have mainly used FCM for texture segmentation. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Hanmandlu, M., Agarwal, S., & Das, A. (2005). A comparative study of different texture segmentation techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3776 LNCS, pp. 477–480). https://doi.org/10.1007/11590316_74
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