SEGMENTASI CITRA MEDIS MENGGUNAKAN FUZZY LEVEL SET BERBASIS KOMPUTASI PARALLEL GPU CUDA

AIRLANGGA, GREGORIUS (2016) SEGMENTASI CITRA MEDIS MENGGUNAKAN FUZZY LEVEL SET BERBASIS KOMPUTASI PARALLEL GPU CUDA. S2 thesis, UAJY.

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Abstract

Image segmentation is a process that is intended to get the objects contained in the image by dividing the image into several regions that have similar attributes on the object. The main purpose of image segmentation is to facilitate the analysis process so the results more meaningful. Image segmentation is usually used to locate objects and boundaries in an image. In the medical world in particular, areas that have similar attributes often found in the image tissues or organs in humans was observed with medical devices such as organs and ultrasound scanning. In this study examined how image segmentation using fuzzy level set by utilizing the GPU via a platform called CUDA. The result is a developed image segmentation 141x able to accelerate faster than previously done by the CPU.

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