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Connectivity-preserving parallel operators in 2D and 3D images

机译:2D和3D图像中的连接保持并行运算符

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ivity preservation is a concern in the design of parallel reduction processes for 2D and 3D image processing algorithms. Algorithm designers need efficient and available connectivity preservation tasks to prove algorithm correctness. Although efficient 2D tests are known, efficient 3D tests still need to be developed. We review earlier results for 2D connectivity preservation tests and demonstrate several 'design spaces' for classes of parallel reduction operators including subiteration and subfields approaches. We then extend certain 'path based' tests from the 2D to the 3D case and show efficient realizations for all but one test for fully parallel reduction operators. Very efficient tests are determined for 3D subfields reduction operators.
机译:Ily保存是对2D和3D图像处理算法的平行减小过程设计的关注。算法设计人员需要高效且可用的连接保存任务以证明算法正确性。虽然已知有效的2D测试,但仍需要开发有效的3D测试。我们审查了前面的2D连接保存测试的结果,并显示了不同的并行减少运算符的“设计空间”,包括子程和子字段方法。然后,我们将某些“基于路径基于基于路径的”测试从2D扩展到3D情况,并为全部并行减少操作员的所有测试显示了高效的实现。为3D子字段还原运算符确定非常有效的测试。

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