Machine Vision Window Division on Self-Adaptation

Xiu Chen Wang

doi:10.4028/www.scientific.net/KEM.460-461.617

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 460-461Machine Vision Window Division on Self-Adaptation

Machine Vision Window Division on Self-Adaptation

Abstract:

Aiming at time-consuming and ineffective problem of image window division in fabric defect detection, this paper proposes a new adaptive division method after a large number of experiments. This method can quickly and exactly recognize defect feature. Firstly, a division model on adaptive window is established, secondly, the formula to anticipate generally situation of fabric image is given according to the peaks and valleys change in the model, and methods to calculate the division size and position of adaptive window are given. Finally, we conclude that the algorithm in this paper can quickly and simply select the size and position of window division according to actual situation of different fabric images, and the time of image analysis is shortened and the recognition efficiency is improved.

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Periodical:

Key Engineering Materials (Volumes 460-461)

Pages:

617-620

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.460-461.617

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Online since:

January 2011

Authors:

Xiu Chen Wang

Keywords:

Division, Machine, Self-Adaptation, Vision, Window

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