KEMAMPUAN SEGMENTASI MENGGUNAKAN METODE DRLSE (DISTANCE REGULARIZED LEVEL SET EVOLUTION) TERHADAP PENGARUH DERAU

*Abdillah Noor Fajrin  -  Physic Department, Science and Mathematics Faculty, Diponegoro University, Indonesia
Kusworo Adi  -  Physic Department, Science and Mathematics Faculty, Diponegoro University, Indonesia
Choirul Anam  -  Physic Department, Science and Mathematics Faculty, Diponegoro University, Indonesia
Published: .
Open Access
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Section: Articles
Language: EN
Statistics: 47
Abstract

Abstract

DRLSE (Distance Regularized Level Set Evolution) Segmentation has been tested in this research under salt & pepper noise, gaussian and speckle influence. DRLSE uses curve fluctuations to carried segmentation. First process, image was be activated by using each noise (gaussian, speckle, and salt & pepper). Afterwards, it was be carried to segmentation under DRLSE. Image activating by distinct noise will shows us DRLSE performances under noise influences. The result show us maximal variants value of following noise as follow: in the image gourd is salt & pepper 0.002, gaussian 0.002 and speckle 0.007. image dua objek is salt & pepper 0.004, gaussian 0.0001 and speckle 0.008.

Keywords :segmentation,salt & pepper, gaussian, speckle.

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