SEGMENTASI 3D BERBASIS MODEL FASET MENGGUNAKAN METODE REGION GROWING TERMODIFIKASI
Abstract
fitur, seperti warna, tekstur, intensitas piksel, dan lain sebagainya. Pada penelitian ini Segmentasi
diimplementasikan pada sebuah model faset 3D menggunakan Metode Region Growing yang
diadopsi dari penerapan metode pada gambar 2D. Segmentasi dilakukan berdasarkan kemiripan
fitur yang terkandung dalam model faset 3D tersebut. Fitur 3D diidentifikasi dan diekstrak
menggunakan beberapa metode, yaitu Angle Deficit / Guass-Bonnet Scheme dan Spherical Image.
Ekstraksi Fitur dilakukan pada setiap verteks dari model faset. Verteks yang menyusun model faset
3D menjadi basis implementasi metode segmentasi menggantikan piksel pada gambar 2D. Hasil
penelitian menunjukkan segmentasi Region Growing pada model faset memiliki tingkat akurasi
cukup tinggi, merentang antara 70% hingga 100%, bergantung dari kehalusan (smoothness) dan
kompleksitas model faset 3D.
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PDFReferences
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