A positioning lockholes of container corner castings method based on image recognition

• Autorzy: Shen Y. , Mi W. , Zhang Z.
• Języki publikacji: EN

Abstrakty

EN

This article proposes a method of locating and recognizing lockholes in shipping container corner castings. This method converts the original image of the containers captured by a camera into the HSV (Hue, Saturation, Value) color space. To reduce the influence of the surface color of the containers and lights from the environment on the locating and recognizing algorithm, most noisy points of the image are filtered by binarization and a morphology opening operation to make the features of the containers clearer in the image. Thus, the container body can be separated from the total image. Then, the position and size of the corner castings are defined through calculation based on the international standard of the shipping container size. Lastly, by using this method, we can locate the corner casting in the image by using the General Hough Transform fitting algorithm onto ellipses

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: 24
• Numer: Special Issue S3
• Opis fizyczny: p.95-101,fig.,ref.

Twórcy

autor

Shen Y.

• Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai 201306, China
• Higher Technical College, Shanghai Maritime University, Shanghai, China

autor

Mi W.

• Container Supply Chain Tech. Engineering Research Center, Shanghai Maritime University, Shanghai, China

autor

Zhang Z.

• Shanghai Weiguo Port Equipment Company Limited, Shanghai, China

Bibliografia

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Identyfikatory

DOI

10.1515/pomr-2017-0110