B
Bakhtiyar Uddin
Researcher at University of Texas at Austin
Publications - 5
Citations - 625
Bakhtiyar Uddin is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Color histogram & Filter (video). The author has an hindex of 3, co-authored 5 publications receiving 544 citations. Previous affiliations of Bakhtiyar Uddin include University of Texas at Arlington.
Papers
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Journal ArticleDOI
A Methodological Approach to the Classification of Dermoscopy Images
M. Emre Celebi,Hassan A. Kingravi,Bakhtiyar Uddin,Hitoshi Iyatomi,Y. Alp Aslandogan,William V. Stoecker,Randy Hays Moss +6 more
TL;DR: A methodological approach to the classification of pigmented skin lesions in dermoscopy images is presented and the issue of class imbalance is addressed using various sampling strategies and the classifier generalization error is estimated using Monte Carlo cross validation.
Journal ArticleDOI
A Fast Switching Filter for Impulsive Noise Removal from Color Images
TL;DR: In this article, a fast switching filter for impulsive noise removal from color images is proposed, which exploits the HSL color space and is based on the peer group concept, which allows for the fast detection of noise in a neighborhood without resorting to pairwise distance computations between each pixel.
Journal ArticleDOI
Fast switching filter for impulsive noise removal from color images
TL;DR: In this paper, a fast switching filter for impulsive noise removal from color images is presented, which exploits the hue, saturation, and lightness color space and is based on the peer group concept, allowing for the fast detection of noise in a neighborhood without resorting to pairwise distance computations between each pixel.
Proceedings Article
Accurate genomic signal recovery using compressed sensing
TL;DR: This paper performs compressed microarray experiments with real aCGH data and shows that the measurements that can be captured by compressed microarrays can be recovered accurately using the proposed norm-minimization methods.
Noise removal from color images
TL;DR: A fast switching filter for impulsive noise removal from color images is presented, based on the peer group concept, which allows for the fast detection of noise in a neighborhood without resorting to pairwise distance computations between each pixel.