Wyniki wyszukiwania - Biblioteka Nauki

1

Segmentation of breast cancer fine needle biopsy cytological images

100%

Hrebień M. , Steć P. , Nieczkowski T. , Obuchowicz A.

International Journal of Applied Mathematics and Computer Science

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2008

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tom 18

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nr 2

159-170

EN

This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research.

2

DE-XRT coal preparation image overlapping and adhesion particle segmentation method

86%

He L. , Wang S. , Guo Y.

Physicochemical Problems of Mineral Processing

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2022

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tom Vol. 58, iss. 6

art. no. 155840

EN

Accurate segmentation of dual-energy X-ray transmission (DE-XRT) coal and gangue image regions are a prerequisite for feature extraction, identification, localization, and separation. A watershed algorithm based on multi-grayscale threshold segmentation (MGTS) is proposed to mark the foreground for the adhesion and overlap of coal and gangue. The grayscale images of foreground objects are segmented using multiple grayscale thresholds, and the number of connected domains is recorded each time. As the gray threshold value decreases, overlapping and adhering objects are gradually separated. The binary image segmented at the grayscale threshold with the most significant number of connected domains is used as a marker region. This marker region is used as the seed point of the watershed algorithm to find the dividing line. The experimental results show that the segmentation accuracy is 91.35%, and the segmentation accuracy of overlapping adhesions of 2, 3, and 4 targets is higher than 90%.

3

Separacja sylwetek osób przy pomocy dyskretnego równania poissona oraz rozszerzonego algorytmu segmentacji wododziałowej

72%

Gardziński P. , Kowalak K. , Kamiński Ł. , Maćkowiak S.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2016

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tom nr 6

301--304, CD

PL

W niniejszym artykule przedstawiono autorską metodę separacji sylwetek osób dla zastosowań w dozorze wizyjnym. Zaproponowane rozwiązanie wykorzystuje dyskretne równanie Poissona oraz kombinację zmodyfikowanego algorytmu segmentacji wododziałowej z algorytmem rozrostu regionu. Badania zostały przeprowadzone na powszechnie dostępnej bazie testowej PETS 2006. Otrzymane wyniki potwierdzają skuteczność przedstawionej metody.

EN

In this paper a novel approach on human silhouette segmentation for surveillance systems was proposed. The described solution uses discrete Poisson equation and a combination of extended watershed algorithm with Region Growing algorithm. Experiments were performed on a commonly known database PETS 2006 and the results show that the proposed solution achieves high precision and accuracy.

4

Segmentation of breast cancer fine needle biopsy cytological images

58%

Hrebień M. , Steć P. , Nieczkowski T. , Obuchowicz A.

International Journal of Applied Mathematics and Computer Science

|

2008

|

tom Vol. 18, no 2

159-170

EN

This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research.