Different Types of Beef and Pord Using Histogram Texture and K-Means Clustering Method

Abstract

The largest source of protein needed by the human body comes from meat. Basically a high number of buyers and beef is much more expensive than other meats giving chances to irresponsible parties to mix beef with pork, In the Islamic religious teachings, pork is forbidden because consuming pork there is a physical, psychological and very easy to be contaminated by bacteria. Humans have the limitation of identifying beef and pork manually using the senses of human vision are still many weaknesses and less effective. In this research, meat image extraction applies histogram and clustering by applying K-Mean. By applying this method is expected to help to group the image of meat with a high degree of accuracy.

Klasifikasi Citra Daging Babi dan Daging Sapi Menggunakan Deep Learning Arsitektur ResNet-50 dengan Augmentasi Citra

“…Daging sapi salah satu sumber protein hewani yang diperlukan oleh tubuh karena mempunyai kandungan zat besi, selenium, zinc, vitamin B kompleks, dan juga omega 3 [1] Menurut data, harga daging sapi pada tahun 2015 yaitu Rp 104.747/kg kemudian tahun 2017 mengalami peningkatan sebesar 8.41% menjadi Rp 115.932/kg [2]. Tingginya permintaan masyarakat setiap hari yang membutuhkan daging sapi membuat oknum penjual daging berbuat curang untuk mengoplos daging sapi dengan daging babi (daging oplosan).…”

Fuzzy Learning Vector Quantization for Classification of Mixed Meat Image Based on Character of Color and Texture

“…The accuracy of K-Means clustering in beef and pork research conducted by [11] was 65%. However, the accuracy gained in this study is rather low because it only employs 100 data points from two varieties of meat, pork, and beef, and data sampling is done without respect for data acquisition.…”