A Graph-Based Approach to the Segmentation of Images with Mould Filled Foam Matrices

Jaros?aw Goc?awski; Joanna Sekulska-Nalewajko

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A Graph-Based Approach to the Segmentation of Images with Mould Filled Foam Matrices

机译：基于图的泡沫填充矩阵图像分割方法

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In the paper a method of MST (minimum spanning tree) graph-based image segmentation supported by parallel GPUprocessing has been presented. It has been applied to images of foam matrices filled with mould fungi of Mucor genus. The aim of the segmentation was to extract the profiles of the matrix objects from image background. Parallel computing methods were used to the initial image filtering, graph edge array building and sorting. The results obtained with graphbased method both with and without parallel processing have been compared with conventional analysis in MATLAB environment. It has been verified that GPU processing clearly reduce execution time of the algorithm.

机译：在本文中，提出了一种由并行GPU处理支持的基于MST（最小生成树）图的图像分割方法。它已应用于填充有Mucor属真菌的泡沫基质的图像。分割的目的是从图像背景中提取矩阵对象的轮廓。并行计算方法被用于初始图像过滤，图形边缘阵列构建和排序。将基于图的方法在并行处理和不并行处理下获得的结果与MATLAB环境下的常规分析进行了比较。已经证实，GPU处理明显减少了算法的执行时间。

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《Image Processing & Communications》 |2013年第4期|共12页
作者
Jaros?aw Goc?awski; Joanna Sekulska-Nalewajko;
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中图分类计算技术、计算机技术;
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A Graph-Based Approach to the Segmentation of Images with Mould Filled Foam Matrices

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