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“He managed to deliver all work according to description. He takes his time in understanding your work and puts effort in solving. He double checks on each stage which I find is really good.”Ally A. 2 bulan lepas
PhD2016 - 2019 (3 years)
Satellite image clustering and optimization using K-means and PSO
This paper presents a brief overview of the basic concepts of clustering techniques proposed in last four decades and a quick review of different similarity measure has been done. K-means is implemented to cluster satellite image of city Mumbai (India) and standard image such as mandrill and clown in HSV color space. PSO is used to optimize clusters results from k-means and within-cluster sums of point-to-centroid distances are measured.
Performance of k-means based satellite image clustering in RGB and HSV color space
Our analysis of image clustering in two different color spaces using the k-means technique shows that clustering performance decreases with RGB color space when compared to HSV color space. CHI, DBI and SE indexes are calculated and compared.
Experiments with Ocular Biometric Datasets: A Practitioner's Guideline
The authors provide a review of ocular databases available in the literature and discuss diversities among these databases, design and parameter consideration issues during acquisition of databases, and selection of appropriate databases for experimentation.
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