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Pallavi Gupta

Work place: Dept. of Information Technology,Maharaja Surajmal Institute of Technology, India

E-mail: pallavigupta117@gmail.com

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Research Interests: Human-Computer Interaction, Computer systems and computational processes, Image Processing

Biography

PALLAVI GUPTA (1989-), female, pursuing her Bachelor of Information Technology from Maharaja Surajmal Institute of Technology, GGSIPU, New Delhi, India, her research directions include image processing and human computer interaction.

Author Articles
Review and Comparison of Kernel Based Fuzzy Image Segmentation Techniques

By Prabhjot Kaur Pallavi Gupta Poonam Sharma

DOI: https://doi.org/10.5815/ijisa.2012.07.07, Pub. Date: 8 Jun. 2012

This paper presents a detailed study and comparison of some Kernelized Fuzzy C-means Clustering based image segmentation algorithms Four algorithms have been used Fuzzy Clustering, Fuzzy C-Means(FCM) algorithm, Kernel Fuzzy C-Means(KFCM), Intuitionistic Kernelized Fuzzy C-Means(KIFCM), Kernelized Type-II Fuzzy C-Means(KT2FCM).The four algorithms are studied and analyzed both quantitatively and qualitatively. These algorithms are implemented on synthetic images in case of without noise along with Gaussian and salt and pepper noise for better review and comparison. Based on outputs best algorithm is suggested.

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