Fast merging algorithm for image segmentation based on date structure

Z. Shan, W. Shui
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Abstract

For the complexity of the algorithm for the merger of the regional boundary. A new algorithm — the Full λ Edge List Segmentation Algorithm(FELSA) is presented. Firstly, A new list — edge list in date structure of segmentation region is introduced to improve the boundaries of multi-partition approach, and the updates value of merger list in FLSA algorithm is re-defined. Thus, segmentation algorithm may select the best boundary for the merger according to the edge list. Furthermore, the adjacent part of the region is defined by edge list, so that a new edge can be retrieved more efficiently. The results show that this improved algorithm become more efficient and effective to the merger of image segmentation.
基于数据结构的图像分割快速合并算法
针对算法的复杂性,对区域边界进行合并。提出了一种新的全λ边表分割算法(FELSA)。首先,在分割区域的数据结构中引入一种新的表边表,改进了多分割方法的边界,并重新定义了FLSA算法中合并表的更新值;因此,分割算法可以根据边缘列表选择合并的最佳边界。在此基础上,利用边缘列表定义区域的相邻部分,从而更有效地检索到新的边缘。结果表明,改进后的算法对于图像分割的合并更加高效。
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