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Proceedings ArticleDOI

Image enhancement using color and spatial information

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TLDR
A new filter that performs color image enhancement is presented that achieves this through the minimization of a weighted cost function that is based on potential functions calculated in such a way as to convey spatial information.
Abstract
In this paper, a new filter that performs color image enhancement is presented. The filter achieves this through the minimization of a weighted cost function. The weights are determined using potential functions which are calculated in such a way as to convey spatial information. Application of the proposed filter on a real blurred and noisy color image is performed to verify its enhancement capabilities.

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Citations
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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.
Proceedings ArticleDOI

Optimizing image enhancement for screening luggage at airports

TL;DR: This work proposes a neural network predictor that can be used for predicting, on a given test image, the best image enhancement algorithm for it, and shows that such a predictive system is highly capable in forecasting the correct choice of enhancement algorithms.
Book ChapterDOI

Image enhancement optimization for hand-luggage screening at airports

TL;DR: This work proposes a neural network predictor that can be used for predicting, on a given test image, the best image enhancement algorithm for it, and shows that such a predictive system is highly capable in forecasting the correct choice of enhancement algorithms.
References
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Book

Pattern classification and scene analysis

TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Journal ArticleDOI

On Estimation of a Probability Density Function and Mode

TL;DR: In this paper, the problem of the estimation of a probability density function and of determining the mode of the probability function is discussed. Only estimates which are consistent and asymptotically normal are constructed.
Journal ArticleDOI

Robust clustering with applications in computer vision

TL;DR: A clustering algorithm based on the minimum volume ellipsoid (MVE) robust estimator is proposed that was successfully applied to several computer vision problems formulated in the feature space paradigm: multithresholding of gray level images, analysis of the Hough space, and range image segmentation.
Journal ArticleDOI

Algorithms for color image edge enhancement using potential functions

TL;DR: 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.
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