Wyniki wyszukiwania - BazTech

1

Metody przetwarzania obrazu kolorowego w procesach logistycznych

Miciak M., Wiatr R., Grad P., Andysiak T.

Logistyka

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2015

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nr 4

7999--8007, CD2

PL

W artykule przedstawiono propozycje metody wydzielenia cech charakterystycznych z obrazów przedstawiających opłaty pocztowe w celu ich identyfikacji. Zaproponowano algorytm przetwarzania kolorowego obrazu opłaty pocztowej, tak aby pod uwagę były brane te cechy, które zawierają najwięcej dystynktywnych informacji. Dokonano wyboru przestrzeni kolorów z uwzględnieniem wpływu zmian oświetlenia obrazu przesyłek pocztowych na ich reprezentację w przestrzeni cech, zaproponowano dwie nowe metody wydzielania cech obrazu kolorowego. Zwrócono uwagę na problemy związane z przetwarzaniem wstępnym i segmentacją obrazu kolorowego oraz transformacją przestrzeni barw.

EN

The article presents proposals for methods of extracting the characteristics of images to identify them. It proposes a new color image processing algorithms. The choice of color space has impact on changes in light image of postal items to their representation in the feature space. This article proposed two new methods for extracting the characteristics of a color image. It highlights the problems of pre-processing and segmentation color image and color space transformation.

2

On the noise attenuation in DNA microarray images

Smolka B., Szczepański M., Wojciechowski K., Plataniotis K. N.

Journal of Medical Informatics & Technologies

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2001

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Vol. 2, Part. 1

MI19--MI27

EN

In this paper a novel method of noise reduction in color images is presented. The new technique is capable of attenuating both impulsive and Gaussian noise, while preserving and even enhancing sharpness of the image edges. Extensive simulations reveal that the new method outperforms significantly the standard techniques widely used in multivariate signal processing. In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images and that it enables efficient spot location and estimation of the gene expression level due to the smoothing effect and preservation of the spot edges. This paper contains the comparison of the new technique of noise reduction with the standard procedures used for the processing of vector valued images, as well as examples of the efficiency of the new algorithm when applied to typical microarray images.

3

New color image impulsive noise reduction algorithm

Smolka B., Wojciechowski K., Plataniotis K.N., Venetsanopoulos A.N.

Journal of Medical Informatics & Technologies

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2000

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Vol. 1

IT 87--90

EN

In this paper a new approach to the problem of impulsive noise reduction for color images is introduced. The presented self-adaptive image filter is based on a model of a virtual particle, which performs a random walk on the image lattice, with transition probabilities derived from the Gibbs distribution. The major advantage of the new filtering technique, is that it filters out the noise component, while adapting itself to the local image structures. In this way the new algorithm is able to eliminate strong impulsive noise, while preserving edges and fine image details. As the algorithm is a fuzzy modification of the commonly used vector median operator, it is very fast and easy to implement. Our results show that the proposed method outperforms all standard algorithms of the reduction of impulsive noise in color images.