Wyniki wyszukiwania - BazTech

1

Intelligent Recognition of Colour and Contour from Ancient Chinese Embroidery Images

Ju Fei, Wang Qiang, Tan Zhenke, Li Quan

Fibres & Textiles in Eastern Europe

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2022

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Vol. 30, no. 3

79--92

EN

Ancient Chinese embroidery is an important intangible part of the cultural heritage of mankind. Its colours and contours are a major source of oriental inspiration and design elements for designers today. This study presents an effective intelligent recognition of colour and contour based on K-means++ clustering and the Canny operator for colour and contour application of ancient Chinese embroidery images and for digital inheritance and innovation. First, digital cameras and portable scanners were used in embroidery image acquisition. Second, colour level adjustment, sharpening and smoothing were specially added to the preprocessing, because of the ancient embroidery age or colour errors caused by the shooting angle. Third, K-means++ clustering was used for colour clustering. Fourth, the Canny operator was used for contour detection. After the addition of colour level adjustment and sharpening in the preprocessing, the colours and contours could be acquired accurately and more effectively from embroidery images and be read and edited independently.

2

Evaluation of the shape and dimensions of cereal seeds and other crops for modeling sowing and seed separation

Gierz Ł., Włodarczyk K., Selech J.

Journal of Research and Applications in Agricultural Engineering

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2017

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Vol. 62, nr 2

37--40

EN

The paper presents the results of laboratory tests on the shape and dimensions of cereal seeds and other crop plants necessary for modeling the sowing and separation of these seeds. Individual grains are not usually identical, so their linear dimensions are not uniform in different directions. The ability to determine the shape and dimensions of grains is extremely important from the point of view of basic research as well as in practice as a boundary condition for machine design. During the study a photogrammetric method was used based on the „Gabar” program written at Poznan University of Technology. It allows us to significantly improve and speed up the process of obtaining data with sufficient accuracy and can be applied to the overall assessment of other raw materials such as those from recycling.

PL

W pracy przedstawiono wyniki badan laboratoryjnych kształtu i wymiarów nasion zbóż i innych roślin uprawnych niezbędnych do modelowania procesu wysiewu i separacji tych nasion. Poszczególne ziarna nie są zazwyczaj identyczne, a więc ich wymiary liniowe nie są jednakowe w różnych kierunkach. Możliwość określenia kształtu i wymiarów ziaren jest niezwykle istotna z punktu widzenia badan podstawowych, jak równie w praktyce jako warunki brzegowe do projektowania maszyn. Podczas badań wykorzystana została metoda fotogrametryczna bazująca na napisanym w Politechnice Poznańskiej programie „Gabar”. Pozwala ona znacznie usprawnić i przyspieszyć proces pozyskiwania danych z wystarczająca dokładnością, jak również może być zastosowana do oceny gabarytowej innych surowców np. recyklingowych.

3

Tracking Exercise Motions of Older Adults Using Contours

Havens T C, Alexanderson G L, Abbott C C, Keller J M, Skubic M, Rantz M

Journal of Applied Computer Science Methods

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2009

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Vol. 1 No. 2

21--42

EN

In this paper we describe the development of a novel markerless motion capture system and explore its use in documenting elder exercise routines in a health club. This system uses image contour tracking and swarm intelligence methods to track the location of the spine and shoulders during three exercises — treadmill, exercise bike, and overhead lateral pull-down. Validation results show that our method has a mean error of approximately 2 degrees when measuring the angle of the spine or shoulders relative to the horizontal. Qualitative study results demonstrate that our system is capable of providing important feedback about the posture and stability of elders while they are performing exercises. Study participants indicated that feedback from our system would add value to their exercise routines.

4

Optymalizacja konstrukcji komórkowej sieci neuronowej za pomocą algorytmu genetycznego

Krukar W.

Zeszyty Naukowe / Wyższa Szkoła Oficerska Sił Powietrznych

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2005

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Nr 2

5--20

PL

Zaproponowano koncepcję optymalizacji konstrukcji komórkowej sieci neuronowej za pomocą algorytmu genetycznego, pełniącej funkcję ekstraktora konturów obiektów. W koncepcji tej, dotyczącej klasy sieci neuronowych utworzonych na podstawie istniejących detektorów krawędzi, algorytm genetyczny tworzy nowe struktury sieci najlepiej dopasowane do zadanego kryterium.

5

Method and device for in-vivo measurement of elasto-mechanical properties of soft biological tissues

Vuskovic V., Kauer M., Dual J., Bajka M.

Machine Graphics and Vision

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1999

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Vol. 8, No. 4

637-654

EN

We present a method to determine elasto--mechanical properties of soft biological tissues, and a device able to perform the required measurements in-vivo. The device permits the controlled application of vacuum to small spots of organic tissue and registers the small deformation caused, during the whole measurement process. Deformation is measured with a vision based technique and the grabbed images are processed in real-time to avoid storage problems. We model biological tissue with a hyperelastic quasilinear viscoelastic material law and determine the unknown material parameters via inverse finite element methods.