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首页> 外文期刊>配管·装置·プラント技術 >Basic studies on automatization of chrysanthemum cutting sticking operation (part 2) -- development of chrysanthemum cutting recognizing algorithm by use of near infrared image and boundary complexity
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Basic studies on automatization of chrysanthemum cutting sticking operation (part 2) -- development of chrysanthemum cutting recognizing algorithm by use of near infrared image and boundary complexity

机译：菊花切割粘贴操作自动化的基本研究（第2部分） - 利用近红外图像和边界复杂性开发菊花切割识别算法

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摘要

In this paper, a detecting algorithm of chrysanthemum cutting for automation of the cutting sticking operation was developed by use of a monochrome TV camera with near infrared sensitivity and boundary complexity of cutting based on problems inthe previous paper. From the experimental results using this algorithm, it was observed that infrared region was more effective than visible region for discrimination between the cutting and its background. A success rate to detect the cutting stem endwas 96.1% and it was much higher than the previous method, although its processing time was almost same (1.5 s). In addition it was possible to make 0 % mis-detection in this algorithm.
机译：本文通过使用近红外灵敏度的单色电视摄像机开发了一种用于切削粘贴操作的菊花切割的检测算法，基于先前的纸张的问题，切割的近红外灵敏度和边界复杂性。 从使用该算法的实验结果，观察到红外区域比切割和其背景之间的辨别区域更有效。 检测切割杆126.1％的成功率，并且它远远高于先前的方法，尽管其处理时间几乎相同（1.5秒）。 此外，可以在该算法中进行0％MIS检测。

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