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Color Enhancement Algorithm using the Integrated K-means Clustering and Inverted Otsu Method for Thermal Object Characterization

机译：使用集成的K-means聚类和反转OTSU方法的彩色增强算法进行热对象表征

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Chan Park; Hi Kim;
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年度 2018
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1. FPGA-based color enhancement algorithm for thermal object characterization [J] . Chan Su Park, Hi Seok Kim International Journal of Engineering & Technology . 2018,第3期

机译：基于FPGA的色彩增强算法用于热物体表征
2. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study [J] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, Computational and mathematical methods in medicine . 2020,第1期

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法，最小生成树和分层聚类的三种混合方法的比较
3. Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China [J] . Xu Hongshi, Ma Chao, Lian Jijian, Journal of Hydrology . 2018,第期

机译：基于集成K-Means集群算法的城市洪水风险评估及改进了中国海口地区熵权法
4. Robust Color Image Segmentation by Karhunen-Loeve Transform Based Otsu Multi-thresholding and K-means Clustering [C] . Wang Chenxue, Watada Junzo 2011 Fifth International Conference on Genetic and Evolutionary Computing . 2011

机译：基于Karhunen-Loeve变换的Otsu多阈值和K-means聚类鲁棒彩色图像分割
5. Hardware Implementation and Performance Evaluation of K-Means and K-Means++ Clustering Algorithms [D] . Singh, Manisha . 2019

机译：K-Means和K-Means ++聚类算法的硬件实现和性能评估
6. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm Minimum Spanning Tree and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法最小生成树和分层聚类的三种混合方法的比较
7. Potential shallow aquifers characterization through an integrated geophysical method: multivariate approach by means of k-means algorithms [O] . Stefano Bernardinetti, Stefano Maraio, Pier Paolo Gennaro Bruno, 2017

机译：通过综合地球物理方法表征潜在的浅含水层：通过k均值算法进行多变量方法
8. Contiguity-enhanced k-means clustering algorithm for unsupervised multispectral image segmentation [R] . Theiler, J. , Gisler, G. 1997

机译：用于无监督多光谱图像分割的邻接增强k均值聚类算法

Color Enhancement Algorithm using the Integrated K-means Clustering and Inverted Otsu Method for Thermal Object Characterization

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