Titlebook: Soft Computing for Image Processing; Sankar K. Pal,Ashish Ghosh,Malay K. Kundu Book 2000 Springer-Verlag Berlin Heidelberg 2000 algorithm.

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Symbolic Data Analysis for Image Processingarge memory and computational time. Many alternate approaches have been tried. we have found that a very novel method for data analysis introduced by Diday and his school, namely Symbolic Data Analysis(SDA) could be very useful to circumvent the problems and in addition provide a frame work to handl

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obligation

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On Fuzzy Thresholding of Remotely Sensed Images Among all the techniques fuzzy correlation, followed by fuzzy entropy, performed better for extracting the structures. Fuzzy geometry based thresholding algorithms produced a single stable threshold for a wide range of membership variation. Both IRS and SPOT imagery are considered for this investigation.

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Knowledge Reuse Mechanisms for Categorizing Related Image Setsntroduce several types of supra-classifiers, comparing their relative strengths and weaknesses. Empirical examples on real world image data sets are used to demonstrate the effectiveness of the supra-classifier framework for classification and retrieval/search in image databases.

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Sankar K. Pal,Ashish Ghosh,Malay K. Kunduverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemina­ tion phases of the activity was transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scient