A new marker-based watershed algorithm

H. Gao, P. Xue, Weisi Lin
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引用次数: 38

Abstract

The marker-based watershed approach is a very efficient means for image segmentation and has been widely used in recent years. The conventional marker-based algorithms are realized using hierarchical queues. A new marker-based watershed algorithm based on the disjoint set data structure is proposed in this paper. It consists of two steps: the flooding step and the resolving step. This algorithm has significantly lower memory requirement as compared with the conventional algorithms while maintaining the computational complexity of O(N) where N is the image size. Experimental results further show that the new algorithm implemented in C language runs much faster than the conventional algorithm based on the hierarchical queues as a result of savings from huge memory allocation and releasing operations.
一种基于标记的分水岭算法
基于标记的分水岭分割方法是一种非常有效的图像分割方法,近年来得到了广泛的应用。传统的基于标记的算法是使用分层队列实现的。提出了一种基于不相交集数据结构的基于标记的分水岭算法。它包括两个步骤:泛洪步骤和分解步骤。与传统算法相比,该算法对内存的需求明显降低,同时保持了O(N)的计算复杂度,其中N为图像大小。实验结果进一步表明,用C语言实现的新算法比基于分层队列的传统算法运行速度快得多,因为它节省了大量的内存分配和释放操作。
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