Perbandingan Local Binary Pattern untuk Klasifikasi Sel Darah Putih

Felix Indra Kurniadi (Tanri Abeng University)

Jurnal ULTIMATICS
Vol 9 No 2 (2017): Ultimatics : Jurnal Teknik Informatika

In recent year, a lot of researches try to overcome problem in recognition and classify white blood cells to help hematologists diagnose white blood cells disease such blood cancer, leukemia and AIDS. This paper compares several methods Local Binary Pattern such as Local Binary Pattern Uniform, Local Binary Pattern Rotation Invariant and Local Binary Pattern Rotation Invariant Uniform to classify five types of white blood cells using two classifier: Support Vector Machine and K-Nearest Neighbour. Index Terms—LBP, LBP-U, LBP-RI, LBP-RIU, white blood cells