Parallel Implementation of Morphological Image Processing Algorithm for GPGPU

被引：0

作者：

Ismail, Muhammad Ali ^{[1
]}

Shamim, Kamran ^{[1
]}

机构：

[1] NED Univ Engn & Technol, Dept Comp & Informat Syst Engn, Ctr High Performance Comp, Karachi, Pakistan

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN COMPUTER SYSTEMS | 2016年 / 38卷

关键词：

Morphology; Errosion; Dilation; GPGPU; CUDA; Parallel Programming;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Morphological Image Processing also known as Morphology is used as a tool for extracting image components that are useful in the representation and description of region such as shape, boundaries, skeleton etc. Morphological techniques are also used for pre- and post-processing of given data for morphological filtering, noise removal, thinning, pruning and edge detection. In this paper a parallel implementation of morphological algorithm for GPGPU is presented. The presented implementation identifies the unbroken pills and remove noise from the image in parallel. The result obtained shows the speedup of almost 85 for erosion operation and around 70 for dilation operations on GPGPU.

引用

页码：130 / 134

页数：5

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