Application of image processing with multilevel thresholding for mould detection on blue cheese cut surface
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Дата
2021
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Анотація
The techniques used by computer vision are based on signals which
carry information about objects and their processing using wide range of methods.
There are variety of types of signals according to their frequency or wave length. The
visual range of spectrum is defined for wave with length between 380 nm and 750
nm. The waves with such length are registered by humans’ receptors and they form
sensitivity for colors. The human accepts the biggest portion of information about
environment through its vision. Because of this there are developed a lot of methods
for storing and processing the visual information. In the last years digital information
processing and especially computer based such, is widely used in every area of
human activity. By this way the computer vision and especially image processing
became to be very important for human life. As a part of quality of human’s life, the
quality of food is also controlled by methods of computer vision. The subject of this
research is one of popular dairy products – blue cheese. The characteristics taste and
smell of this cheese are formed thanks to growth of mould Penicillium roqueforti. The
growth of this moulds is detected by images processing with multilevel thresholding
based on Otsu’s method. Samples of eight trademarks of blue cheese are used for
experiments. The results show that multilevel thresholding with two levels is
appropriate for mould detection but multilevel thresholding with four levels support
detection of areas with high concentration of moulds Penicillium roqueforti and
areas with weak growth of moulds. Based on these results, in the future a software
which would be helpful in reaching a high-quality control in the dairy industry could
be developed.
Опис
Ivanov I. Application of image processing with multilevel thresholding for mould detection on blue cheese cut surface / I. Ivanov, V. Karparov, M. Kutryanska ; sci. advisors A. Bosakova-Ardenska, P. Panayotov // Black Sea Science 2021. Information Technology, Automation and Robotics : рroc. of the Intern. Competition of Student Scientific Works / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2021. – P. 349-364 : tabl., fig. – Ref.: 33 tit.
Ключові слова
image processing, multilevel thresholding, blue cheese, quality, Penicillium roqueforti