Automatic draft reading based on image processing

作者：Tsujii Takahiro; Yoshida Hiromi^*; Iiguni Youji

来源：Optical Engineering, 2016, 55(10): 104104.

DOI：10.1117/1.OE.55.10.104104

• draft survey
• edge detection
• image processing
• machine vision
• marine transportation
• morphological operations

In marine transportation, a draft survey is a means to determine the quantity of bulk cargo. Automatic draft reading based on computer image processing has been proposed. However, the conventional draft mark segmentation may fail when the video sequence has many other regions than draft marks and a hull, and the estimated waterline is inherently higher than the true one. To solve these problems, we propose an automatic draft reading method that uses morphological operations to detect draft marks and estimate the waterline for every frame with Canny edge detection and a robust estimation. Moreover, we emulate surveyors' draft reading process for getting the understanding of a shipper and a receiver. In an experiment in a towing tank, the draft reading error of the proposed method was < 1 cm, showing the advantage of the proposed method. It is also shown that accurate draft reading has been achieved in a real-world scene.

• 出版日期2016-10