.png){kind=icon}
返回
An improved cuckoo search algorithm for multi-level gray-scale image thresholding
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-020-08931-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In decades, Yang's cuckoo search algorithm has been widely developed to select the optimal threshold of bi-level image threshoding, but the amount of computation of which increases exponentially with multi-level thresholding. To reduce the computation quantity, the iterative step size is adaptively decided by its fitness values of the current iteration without using the Levy distribution in this study. The modification may cause the solution drops into the local optima during the later period. Therefore, the constant discovery probability p(a) is automatically changed relating to the current and total iterations. And then, to verify segmentation accuracy and efficiency of the proposed method, an adaptive cuckoo search algorithm proposed by Naik and Yang's cuckoo search algorithm are included to test on several gray-scale images. The results show that the proposed algorithm is expert in selecting optimal thresholds for segmenting gray-scale image.
Keyword:
Cuckoo search algorithm
Multi-level thresholding
Adaptive
Gray-scale image
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
暂无机构信息
引用论文
An efficient method for segmentation of images based on fractional calculus and natural selection
PREAI
分享收藏A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition
PREAI
分享收藏Comparison of a lock-in amplifier and a digital sampling voltmeter as null detectors for differential measurements between sinusoidal and stepwise approximated ac signals.png)
CPEM 2010
CPEM 2010IF0
PREAI
分享收藏
查看更多内容