Parallel algorithm in image morphology

C. Giardina
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Abstract

Summary form only given. A parallel specification has been obtained for the opening and closing operations in image morphology in one and several dimensions. This has been done for the usual image case as well as in the wraparound case. The role of mathematical morphology in determining other multidimensional algorithms has also been identified. For instance, Mellin convolution is easily found by first utilizing the dilation operation. All the algorithms have been expressed using data-flow type diagrams and allow straightforward use of fault-tolerant methods. The unified signal algebra approach to parallel algorithms and architecture design has been used in developing all the procedures reported. It permits the design of data-flow systolic and wavefront array architectures.<>
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图像形态学中的并行算法
只提供摘要形式。得到了一维和多维图像形态学开闭操作的并行规范。这已经完成了通常的图像情况下,以及在环绕情况下。数学形态学在确定其他多维算法中的作用也已被确定。例如,Mellin卷积很容易通过首先使用扩张操作找到。所有算法都使用数据流类型图表示,并允许直接使用容错方法。采用统一的信号代数方法进行并行算法和体系结构设计,开发了所报道的所有程序。它允许设计数据流收缩和波前阵列架构
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