GasHolesJ- a software tool for measurement of gas holes in cheese

A. Danev, A. Bosakova-Ardenska, P. Panayotov, P. Boyanova
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Abstract

The aim of this paper is to present an approach for objective and automatic detection and measure the gas holes in Swiss-type of cheese (Emmental) by computer vision techniques. Samples of four brands of Emmental cheese are bought from the marketplace. The cheese is factory cut into slices. Each slice of the cheese is captured at both sides by a digital camera and the images are saved locally in a computer. A standalone computer program called GasHolesJ is developed for processing the images. The program uses techniques for performing manual thresholding and nineteen algorithms for global auto thresholding are implemented in it. The results images obtained after performing manual and auto thresholding are analyzed and a difference operation between them is performed, in order to compare the efficiency of each auto threshold algorithms with the efficiency of manual threshold technique. The results show that six algorithms for global auto thresholding are effective enough for detection gas holes in Emmental cheese.
GasHolesJ-一个软件工具,用于测量奶酪中的气体孔
本文的目的是提出一种利用计算机视觉技术客观、自动地检测和测量瑞士奶酪(Emmental)中气孔的方法。从市场上购买了四个品牌的Emmental奶酪样品。奶酪是在工厂里切成片的。每一片奶酪的两边都被数码相机捕捉到,图像被本地保存在电脑里。开发了一个名为GasHolesJ的独立计算机程序来处理这些图像。该程序使用执行手动阈值的技术,并在其中实现了19种全局自动阈值算法。对人工阈值和自动阈值处理后的图像结果进行了分析,并对其进行了差分运算,比较了每种自动阈值算法与人工阈值技术的效率。结果表明,6种全局自动阈值算法都能有效地检测出干酪中的气孔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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