Library Automation and Digital Archive
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM 304
Collection Type Indeks Artikel prosiding/Sem
Title Efficient incomplete ellipse detection based on minor axis for ultrasound fetal head approximation
Author I Putu Satwika, M. Iqbal Tawakal, Zaki Imaduddin, Wisnu Jatmiko;
Publisher 2012 International conference on advanced computer science and information systems (ICACSIS 2012) Depok, December 1st and 2nd 2012 Crystal of knowledge building Universitas Indonesia
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
Tidak ada review pada koleksi ini: 40348
Fetal head detection and approximation from ultrasound image is an important method in obstetric and gynaecology, In this research, we propose a modification of an efficient algorithm to detect an ellipse shape in an image. Our proposed method is using an efficient way to approximate an ellipse based on its minor axis. By enumerating every possible minor axis from a pairs of pixels, other ellipse parameter can be estimated. for verifying the ellipse approxiamtion result, a voting mechanism is conducted to vote the most appropriate set of parameters for an ellipse. Instead of using every edge pixels in the image, we randomize the pixels to gain speed improvement we test the algorithm using two different data. The first one is real ultrasound image and the second one is synthetic image which has been populated with salt noise. The ultrasound image is cleaned from speckle noise using speckle reducing anisotropic diffusion (SRAD) algorithm. The experiment gives satisfying result in both of synthetic and real images.