Vishwambhar Pathak

Work place: Department of CSE, Birla Institute of Technology (Ranchi) Jaipur Campus, 27, MIA, Jaipur



Research Interests: Data Mining, Parallel Computing, Pattern Recognition, Computer Vision


Vishwambhar Pathak did his MCA in 2001 and is pursuing dissertation for Ph.D. program in Banasthali University, Rajasthan, India. He is working as Asst. Professor in Department of CSE, Birla Institute of Technology, MESRA, Jaipur Campus, Rajasthan, India. His areas of interest include data mining, computer vision, natural computing, statistical pattern recognition, and parallel computing.

Author Articles
Autonomous Image Segmentation using Density-Adaptive Dendritic Cell Algorithm

By Vishwambhar Pathak Praveen Dhyani Prabhat Mahanti

DOI:, Pub. Date: 8 Aug. 2013

Contemporary image processing based applications like medical diagnosis automation and analysis of satellite imagery include autonomous image segmentation as inevitable facility. The research done shows the efficiency of an adaptive evolutionary algorithm based on immune system dynamics for the task of autonomous image segmentation. The recognition dynamics of immune-kernels modeled with infinite Gaussian mixture models exhibit the capability to automatically determine appropriate number of segments in presence of noise. In addition, the model using representative density-kernel-parameters processes the information with much reduced space requirements. Experiments conducted with synthetic images as well as real images recorded assured convergence and optimal autonomous model estimation. The segmentation results tested in terms of PBM-index values have been found comparable to those of the Fuzzy C-Means (FCM) for the same number of segments as generated by our algorithm.

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