📅 14 February 2025
DOI: 10.62951/router.v3i1.385
Identification of Flower Type Images Using KNN Algorithm With HSV Color Extraction and GLCM Texture
Router : Jurnal Teknik Informatika dan Terapan
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)
📄 Abstract
Due to the variety of types of flowers that exist and having and tracking each variety, making plant lovers and cultivators difficult to distinguish in determining the type of flower, it takes a very long time to find out the type of flower if you only rely on the five senses. With the application of the K-Nearest Neighbor algorithm and feature extraction of color and texture, it is very helpful in image processing to identify flowers more easily and shorten the time, with the greatest accuracy of 71% using the K-7 value, the flower was successfully carried out.
🔖 Keywords
#Identification; HSV; GLCM; K-Nearest Neighbor
ℹ️ Informasi Publikasi
Tanggal Publikasi
14 February 2025
Volume / Nomor / Tahun
Volume 3, Nomor 1, Tahun 2025
📝 HOW TO CITE
Edhy Poerwandono; M. Endang Taufik, "Identification of Flower Type Images Using KNN Algorithm With HSV Color Extraction and GLCM Texture," Router : Jurnal Teknik Informatika dan Terapan, vol. 3, no. 1, Feb. 2025.
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