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Image segmentation

Originally, the chemometric tools for image segmentation were conceived to analyze classical spectroscopic data and, therefore, they compare the spectral shape of the different pixels, as if they were completely independent from each other (as it happens when spectra come from different samples). Recently, some of these methodologies have been adapted to incorporate the spatial information finked to pixel neighborhood, and this has resulted in a better clustering performance for image data sets [34, 64]. [Pg.74]


B-Scan X-Rays Images Segmentation Using Co-Occurrence Matrix. [Pg.231]

Segmentation method based on the analysis by Co-Occurrence Matrix is developed. We try to increase the quality of the obtained results by means of the application of two dimensional (2D) processing. We use Co-Occurrence Matrix for ultrasonic image segmentation. This tool, introduced by Haralick (1), was selected for the present study as several general considerations were favourable ... [Pg.231]

S. DARBANE, R. DRAI, Y. CHERFA Y. KABIR, Detection of weld defects by image segmentation, Les Annales de Chimie Sciences des Materiaux, June 97, Vol. 22, N° 3-4. [Pg.237]

Morel J.-M., Solimini S. (1995) Variational methods in image segmentation. Birkhauser, Boston, Basel, Berlin. [Pg.382]

Pelet, S., Previte, M. J., Laiho, L. H. and So, P. T. (2004). A fast global fitting algorithm for fluorescence lifetime imaging microscopy based on image segmentation. Biophys. J. 87, 2807-17. [Pg.145]

B. Tyler, Interpretation of TOF-SIMS images multivariate and univariate approaches to image de-noising, image segmentation and compound identification, Appl. Surf. Sci., 203-204, 2003, 825-831. [Pg.282]

Image Enhancement Image segmentation Image transformation... [Pg.147]

Image segmentation Create and view binary images created from image thresholding... [Pg.150]

From the published data, it appears that only two of the systems, CLiDE and the IBM system, introduced in Projects, above, perform document image segmentation to automatically identify graphic regions in document pages. [Pg.54]

Saitoh, T., T. Yamaai, and M. Tachikawa. 1994. Document image segmentation and layout analysis. IEICE Trans. Inf. Systems 77(7) 778-784. [Pg.76]

Tetsuo, A., D. Z. Chen, N. Katoh, and T. Tokuyama. 1996. Polynomial-time solutions to image segmentation. Proc. Seventh Ann. ACM-SIAM Symp. Discrete Algorithms, pp. 104-113. [Pg.76]


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