Wyniki wyszukiwania - BazTech

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Measuring the Geometrical Parameters of Slub Yarn Using a Computer Vision Based Image Sequencing Technique

Li Zhongjian, Xiang Jun, Wang Lei, Zhang Ning, Wang Jing-an, Pan Ruru, Gao Weidong

Fibres & Textiles in Eastern Europe

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2019

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Vol. 27, no. 3 (135)

26--35

EN

This article presents a computer vision method for measuring the geometrical parameters of slub yarn based on yarn sequence images captured from a moving slub yarn. An image segmentation method proposed by our earlier work was applied to segment sequence slub yarn images to obtain overlapping diameter data. Then an image stitching method was proposed to remove the overlapped data based on the normalised cross correlation (NCC) method. In order to detect the geometrical parameters of slub yarn, the frequency histogram, curve fitting , and spectrogram methods were adopted to analyse the sequence diameter data obtained. Four kinds of slub yarn with different geometrical parameters were tested using the method proposed and Uster method. The experimental results show that the detection results for slub amplitude, slub length, slub distance, and slub period obtained using the method proposed were consistent with the set values and Uster results.

PL

W artykule przedstawiono komputerową metodę pomiaru parametrów geometrycznych przędzy fantazyjnej na podstawie sekwencjonowania obrazów. Metoda segmentacji obrazu zaproponowana we wcześniejszej pracy została zastosowana do obrazów przędzy fantazyjnej w celu uzyskania danych dotyczących pomiarów średnicy. Następnie, w celu usunięcia nakładających się danych, zaproponowano metodę obróbki obrazu opartą o znormalizowaną metodę korelacji krzyżowej (NCC). W celu wykrycia parametrów geometrycznych przędzy fantazyjnej zastosowano histogram częstotliwości oraz dopasowanie krzywej i metody spektrogramowe do analizy uzyskanych danych. Za pomocą proponowanej metody i metody Uster przeanalizowano cztery rodzaje przędz fantazyjnych o różnych parametrach geometrycznych. Wyniki eksperymentalne wykazały, że wyniki detekcji amplitudy, długości, odległości i okresu wzgrubień uzyskane przy użyciu proponowanej metody były zgodne z wartościami zadanymi i wynikami Uster.

2

Ocena mieszania jednorodnych układów ziarnistych za pomocą komputerowej analizy obrazu

Rut J.

Zeszyty Naukowe. Mechanika / Politechnika Opolska

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2009

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z. 93

89--90

EN

In the article a possibility of using Computer analysis of the image was de- scribed to the assessment of mixing homogeneous grain systems. For exnminations a homogeneous grain layout consisting of grains was applied materiał making the maize different oneself witli colour.

3

Design of automatic vision-based inspection system for solder joint segmentation

Mar N. S. S., Fookes C., Yarlagadda P. K. D. V.

Journal of Achievements in Materials and Manufacturing Engineering

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2009

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Vol. 34, nr 2

138-151

EN

Purpose: Computer vision has been widely used in the inspection of electronic components. This paper proposes a computer vision system for the automatic detection, localisation, and segmentation of solder joints on Printed Circuit Boards (PCBs) under different illumination conditions. Design/methodology/approach: An illumination normalization approach is applied to an image, which can effectively and efficiently eliminate the effect of uneven illumination while keeping the properties of the processed image the same as in the corresponding image under normal lighting conditions. Consequently special lighting and instrumental setup can be reduced in order to detect solder joints. These normalised images are insensitive to illumination variations and are used for the subsequent solder joint detection stages. In the segmentation approach, the PCB image is transformed from an RGB color space to a YIQ color space for the effective detection of solder joints from the background. Findings: The segmentation results show that the proposed approach improves the performance significantly for images under varying illumination conditions. Research limitations/implications: This paper proposes a front-end system for the automatic detection, localisation, and segmentation of solder joint defects. Further research is required to complete the full system including the classification of solder joint defects. Practical implications: The methodology presented in this paper can be an effective method to reduce cost and improve quality in production of PCBs in the manufacturing industry. Originality/value: This research proposes the automatic location, identification and segmentation of solder joints under different illumination conditions.

4

Decomposition of grey-scale morphological structuring elements in hardware

Andreadis I., Fyrinides C., Gasteratos A., Boutalis Y.

Image Processing & Communications

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2002

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Vol. 8, no 2

13-22

EN

Morphological image processing machines are not capable of handling large size structuring elements. A new architecture for fast execution of the erosion/dilation operations in an up to 9 x 9-pixel, arbitrarily shaped, image window through decomposition of grey-scale morphological structuring element into 3 x 3-pixel sub-domains is presented in this paper. The domain of the structuring element is divided into non-overlapping sub-domains. From these local results the global morphological operation is composed. The proposed hardware structure has been also implemented in VLSI and the throughput rate of the resulting ASIC is 10 Mbytes/sec.