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KLASIFIKASI JENIS DAN TINGKAT KESEGARAN DAGING BERDASARKAN WARNA, TEKSTUR DAN INVARIANT MOMENT MENGGUNAKAN KLASIFIKASI LDA
Distribution process that takes a long time along
with improper treatment, can cause meat become not fresh
and decrease the quality of the meat. Therefore, unscrupulous
meat sellers cheating on the non fresh meat by mixing the non
fresh meat with the fresh one. A system that can classify the
type and freshness level of meat automatically is needed. In
this research, that system was developed based on texture,
color and shape features using Linear Discriminant Analysis
(LDA) classification. The methods used in the feature
extraction process are statistical approach, GLCM and the
HU's invariant moment. The total of data used in this research
was 960 images of 3 different meat types which are chicken
meat, goat meat, and beef. The highest accuracy obtained
from the testing process was 90% on the combination features
of HSI and invariant moment for the meat type in
refrigerator.
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