Sofiane Sellah

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We present our preliminary findings as part of a new data mining application aiming at the automatic detection of images with coronal loops from one of NASA's solar image databases, known as EIT. Coronal loops are immense arches of hot gas on the surface of the Sun, thought to be jets of hot plasma flowing along in the alleys between the strong coronal(More)
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Transform (RHT) to compute the curve parameters from sampled image points and uses a density-based robust stream clustering algorithm to discover the potential parameters from the(More)
We give an overview of our experience in utilizing several open source packages and composing them into sophisticated applications to solve several challenging problems as part of some of the research projects at the Knowledge Discovery & Web Mining lab at the Universe of Louisville. The projects have a common theme of knowledge discovery, however their(More)
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Transform (RHT) to compute the curve parameters from sampled image points and uses a densitybased robust stream clustering algorithm to discover the potential parameters from the(More)
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