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Accelerating Mean Shift Image Segmentation with IFGT on Massively Parallel GPU (CROSBI ID 607494)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Sirotković, Jadran ; Dujmić, Hrvoje ; Papić, Vladan Accelerating Mean Shift Image Segmentation with IFGT on Massively Parallel GPU // MIPRO / Petar Biljanović (ur.). 2013. str. 301-306

Podaci o odgovornosti

Sirotković, Jadran ; Dujmić, Hrvoje ; Papić, Vladan

engleski

Accelerating Mean Shift Image Segmentation with IFGT on Massively Parallel GPU

Mean shift algorithm is a popular technique in many machine vision applications including image segmentation. Main drawback of the original algorithm is its quadratic computational complexity, the problem approached with many acceleration methods developed by researchers so far. One of the most effective is usage of the Improved Fast Gauss Transformation (IFGT) to accelerate Gaussian summations of the mean shift, resulting with linear computational complexity. Despite such advances, mean shift segmentation on larger images can still be too expensive for time critical applications. However, recent rapid increase in the performance of general purpose graphic processing unit (GPGPU) hardware has opened opportunity for significant acceleration of the algorithms by parallel execution. This paper introduces first parallel implementation of IFGT- MS segmentor based on many core GPGPU platform. The emphasis is placed on adaptation of the core algorithm to efficiently exploit benefits of underlying GPU hardware architecture. Numerical experiments have demonstrated considerably faster segmentation execution compared with alternative CPU and GPU based mean shift variants.

mean shift; IFGT; parallel GPU; image segmentation

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Podaci o prilogu

301-306.

2013.

objavljeno

Podaci o matičnoj publikaciji

mipro 2013

Petar Biljanović

Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO

978-953-233-074-8

1847-3946

Podaci o skupu

MIPRO 2013

predavanje

20.05.2013-24.05.2013

Opatija, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo