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A fuzzy c-means approach is described for tissue segmentation of X-ray computed tomography (CT) and T1 weighted magnetic resonance (MR) images of the same cross-section of the human brain. A fuzzy set approach is then utilized to obtain a fused classification displaying the salient features of image data of the individual modalities.
Sodar facsimile records provide meteorological information of the atmospheric boundary layer (ABL). Segmentation of sodar image (digitised sodar record) is vital for subsequent interpretation of ABL structure. The problem of segmentation is presented here as classification problem. Fuzzy c-means classification algorithm has been adopted for segmentation purpose using a set of four feature vectors...
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