SAYFULLOOH, MUJAAHIDAH AS (2014) IMPLEMENTASI EVALUASI PERFORMA STRUKTURAL ALGORITMA DETEKSI STRUKTUR GARIS LENGKUNG. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Struktur garis lengkung adalah fitur yang berguna dalam berbagai aplikasi, terutama dalam analisis citra medis. Metode evaluasi performa algoritma deteksi struktur garis lengkung, sangat dibutuhkan untuk mengukur akurasi dari hasil deteksi garis lengkung. Dalam Tugas Akhir ini dibangun sistem pengukur performa algoritma deteksi struktur garis lengkung dengan metode evaluasi performa struktural pada kasus segmentasi pembuluh darah retina. Metode evaluasi performa struktural adalah metode evaluasi berdasarkan perbandingan struktur dari hasil deteksi garis lengkung dengan ground truth melalui proses point matching. Metode ini terdiri dari lima proses yaitu melakukan ekstraksi struktur dengan skeletonisasi, pemilihan kandidat match berdasarkan jarak Euclidean dan selisih lebar struktur, penghitungan cost dari kandidat match, penghitungan optimal structural matching, dan pengukuran kualitas deteksi yang menghasilkan dua aspek performa yaitu nilai akurasi dan akurasi deteksi. Metode ini berhasil mengukur performa algoritma dengan baik dan menghasilkan informasi karakteristik dari struktur garis lengkung yang dideteksi. ================================================================================================== Curvilinear structures are useful features in a variety of applications, particularly in medical image analysis. Performance evaluation method of curvilinear structure detection algorithms is needed to measure accuration of curvilinear detection result. In this final project is built a system to measure performance of curvilinear structure detection algorithms with structural performance evaluation method in case retinal vessel segmentation. Structural performance evaluation method is evaluation method based on structure comparison of segmentation result and ground truth by a point matching process. This method consists of five processes, those are structure extraction by skeletonization, selecting match candidates based on Euclidean distance and different width of structure, computing cost of match candidates, computing optimal structural matching, and quality measures of detection which produces two aspects of performace, accuration rate and detection accuration. Method is succeed to measure performance of algorithm and produce characterization information of curvilinear structure which detected.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSIf 621.367 Say i |
| Uncontrolled Keywords: | Evaluasi performa, Image matching, Segmentasi struktur garis lengkung, Skeletonisasi, Curvilinear structure segmentation, Evaluation performance, Image matching, Skeletonization. |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques |
| Divisions: | Faculty of Information Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
| Depositing User: | Mrs Anis Wulandari |
| Date Deposited: | 30 Jan 2017 02:03 |
| Last Modified: | 30 Jan 2017 02:03 |
| URI: | https://repository.its.ac.id/id/eprint/3882 |
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