二维图像处理中布谷鸟搜索算法的基本概念及一些研究成果:一种将布谷鸟搜索算法应用于二维图像关键点搜索的思路

2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP) Pub Date : 2014-08-28 DOI:10.5220/0005015801570164

M. Woźniak, Dawid Połap

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引用次数: 28

摘要

本文提出了应用布谷鸟搜索算法在二维图像中搜索关键点的思想。对于一组测试图像，我们提出并验证了简化版本的有效性和准确性。将研究结果与经典方法如简化的SURF和SIFT算法进行了比较，以显示应用计算智能的潜在效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Basic concept of Cuckoo Search Algorithm for 2D images processing with some research results: An idea to apply Cuckoo Search Algorithm in 2D images key-points search

In this paper, the idea of applying cuckoo search algorithm to search for key-points in 2D images is formulated. For a set of test images we present and verify simplified version, it's efficiency and precision. Research results are presented and discussed in comparison to classic methods like simplified SURF and SIFT algorithms to show potential efficiency of applied computational intelligence.

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2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)

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