Journal ArticleDOI
Algorithms for color image edge enhancement using potential functions
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This letter deals with the color image edge enhancement issue using clustering ideas and based on the use of potential functions (Parzen windows) and employing the mountain clustering method and modifying it appropriately.Abstract:
This letter deals with the color image edge enhancement issue using clustering ideas and based on the use of potential functions (Parzen windows). Two algorithms are proposed. The first uses potential functions (PF's) and selects the output as the vector maximizing the PF. The second one elaborates further by employing the mountain clustering method and modifying it appropriately. Both algorithms are robust in the presence of noise, Gaussian and impulsive.read more
Citations
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Journal ArticleDOI
Exploratory data analysis of evoked response single trials based on minimal spanning tree
TL;DR: An exploratory data analysis framework based on minimal spanning tree finds support for stimulus-induced phase-resetting hypothesis in the 3-20 Hz band, the existence of trials void of the prototypical evoked response, and an order across the single trial set hinting at an underlying process with long time scale.
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Kernel density estimation with adaptive varying window size
TL;DR: A new method of kernel density estimation with a varying adaptive window size based on the so-called intersection of confidence intervals (ICI) rule is proposed, based on which the quality of the adaptive density estimate is assessed by means of numerical simulations.
Proceedings ArticleDOI
Color image edge detection based on nonparametric density estimation
TL;DR: A novel computationally efficient adaptive algorithm to accomplish edge detection in multidimensional and color images is presented, based on local, non-parametric kernel density estimation.
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A novel training scheme for neural-network-based vector quantizers and its application in image compression
TL;DR: The proposed procedure, the sequential presentation of training vectors is controlled according to an external, user-defined criterion, and the new training scheme is applied to the problem of codebook design, using the neural gas network.
Journal ArticleDOI
A knowledge-based framework for image enhancement in aviation security
TL;DR: A knowledge-based framework for automatically selecting the best image enhancement algorithm from several available on a per image basis in the context of X-ray images of airport luggage is presented.
References
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Generation of Fuzzy Rules by Mountain Clustering
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