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S. K. Pal


Click on the titles below to find US government-authored or -collected reports written by S. K. Pal

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Simulated Annealing Based Pattern Classification MAY 1998 28 pages
Authors:  S. Bandyopadhyay; S. K. Pal; C. A. Murthy; PENNSYLVANIA STATE UNIV UNIVERSITY PARK CENTER FOR MULTIVARIATE ANALYSIS
The full text of this report is available for sale.A method is described for finding decision boundaries, approximated by piecewise linear segments, for classifying patterns in RN N >/= 2, using simulated annealing. It involves generation and placement of a set of hyperplanes (represented by strings) in the feature space that yields minimum misclassification. Theoretical analysis shows that as the size of the training data set approaches infinity, the boundary provided by the simulated annealing based classifier will approach ...


Pattern Classification Using Genetic Algorithms: Determination of H MAY 1998 24 pages
Authors:  S. Bandyopadhyay; C. A. Murthy; S. K. Pal; PENNSYLVANIA STATE UNIV UNIVERSITY PARK DEPT OF STATISTICS
The full text of this report is available for sale.A methodology based on the concept of variable string length GA (VGA) is developed for determining automatically the number of hyperplanes for modeling the class boundaries in GA classifier. The genetic operators and fitness function are newly defined to take care of the variability in chromosome length. It is proved that the said method is able to arrive at the optimal number of misclassifications after sufficiently large number of iterations, ...


A New Gray Hough Transform for Region Extraction from IRS Images DEC 96 14 pages
Authors:  B. U. Shankar; C. A. Murthy; S. K. Pal; PENNSYLVANIA STATE UNIV UNIVERSITY PARK CENTER FOR MULTIVARIATE ANALYSIS
The full text of this report is available for sale.A technique using Hough transform is described for detection of homogeneous line segments directly from (i.e., without binarization of) gray level images. A definition of region in terms of these line segments, with constraints on its length and variance, is provided. The algorithm is able to extract gray regions irrespective of their shape and size. The effectiveness of the method is demonstrated on Indian Remote-sensing Satellite(IRS) images.


HISTOGRAM EQUALIZATION WITH S AND PI FUNCTIONS IN DETECTING X-RAY EDGES APR 81
Authors:  S. K. Pal; R. A. King
The full text of this report is not available and therefore is not for sale. This information is provided for reference purposes only.an algorithm consisting of a histogram equalization technique followed by further enhancement using s and pi membership functions is described to detect the small variation in grey levels of x-ray images. the effectiveness of the algorithm in identifying the different regional contours related to growth of normal bones is demonstrated. (author)


image enhancement using fuzzy set MAY 80
Authors:  S. K. Pal; R. A. King
The full text of this report is not available and therefore is not for sale. This information is provided for reference purposes only.a method of image enhancement by computer using the fuzzy set theoretic approach is reported. the algorithm involves extraction of fuzzy properties corresponding to pixels and then successive application of fuzzy operator 'contrast intensification' on the property plane. system performance with different indexes of fuzziness is demonstrated for an english script input. (author)


Total Results: 5 Results per page: