Image cluster algorithm of hybrid encoding method by Chun-hui ZHAO, Xue-yuan LI, Ying CUI

Subjects: “…image cluster analysis;hybrid encoding;rain forest algorithm;quantum particle swarm optimization…”
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Modeling an Image Clustering Algorithm For Detecting Overheated Railway Axle by Oleksandr Gertsiy, Serhii Karnatov, Vitaliy Gladish, Valentyna Tkachenko

“… This paper presents an approach to image identification based on a clustering algorithm for detecting the thermal characteristics of railway axle boxes. …”
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Brain image clustering by wavelet energy and CBSSO optimization algorithm by Mohammad Sedaghat, Hasan Hosseinzadeh

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Image Clustering based on Artificial Intelligence Techniques by Baydaa Khaleel

“…We have take the advantage of classification abilities of Artificial Intelligence Techniques (AITs) to classify images data set into a number of clusters. The Gath-Geva (GG) fuzzy clustering algorithm, Artificial Bee Colony algorithm(ABC), Radial Basis Function Network(RBF), and then combined Gath-Geva algorithm with (RBF) algorithm to produce Fuzzy RBF (FRBF) method were applied using images data set to classify this data set into a number of clusters (classes). …”
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A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

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Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…The Fuzzy C-means (FCM) algorithm is employed to cluster MRI images, which are then enhanced by applying PET-derived masks. …”
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Segmentation of Anterior and Posterior Chambers on UBM Images by Fuzzy Clustering by Yaru Yao, Xin Wang, Xinying You, Xueyan Liu

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Furniture design based on image color extraction algorithm by Binglu Chen, Guanyu Chen, Qianqian Hu

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Integrating agent-based models and clustering methods for improving image segmentation by Erik Cuevas, Sonia Jazmín García-De-Lira, Cesar Rodolfo Ascencio-Piña, Marco Pérez-Cisneros, Sabrina Vega

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Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image by Ganbin Xu, Jianwei Lin

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Supervised Clustering of Persian Handwritten Images by Sajedeh Moradnia, Mousa Golalizadeh

“…This paper evaluates the efficacy of supervised clustering in the analysis of Persian handwritten images. …”
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Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

“…A similarity matrix is then constructed by integrating multi-feature information. The AP algorithm clusters the bands of the hyperspectral images to achieve effective band dimensionality reduction. …”
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Self-supervised change detection of heterogeneous images based on difference algorithms by Jinsha Wu, Shuwen Yang, Yikun Li, Yukai Fu, Zhuang Shi, Yao Zheng

“…The new DI generation method can generate the standard and exponential difference images. Secondly, the hierarchical FCM clustering algorithm is improved to extract stable and correct self-supervised samples by difference images so that the clustering process is not overly dependent on thresholds. …”
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Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering by HAN Jian-hui, TANG Jun-chao

“…The superpixel segmentation is an important pre-processing step in computer image processing. Thetraditional superpixel segmentation algorithm based on density clustering is better for boundary processing，but the resulting superpixel shape is irregular. …”
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Clustering-based interactive image segmentation by B. A. Zalesky

“…The modified sets of object and background cluster centers are used for image segmentation.Results . …”
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Data Clustering Methods for Recognition of Endoscopic Images in the Problems of Computer Medical Diagnosis by R. V. Kozar, N. S. Konoiko, A. A. Navrotsky

Subjects: “…medical image…”
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Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms by Liang Huang, Xueqin Yu, Xiaoqing Zuo

“…To solve this problem, an edge detection method of UAVRSI by combining Zernike moments with clustering algorithms is proposed in this study. To begin with, two typical clustering algorithms, namely, fuzzy c-means (FCM) and K-means algorithms, are used to cluster the original remote sensing images so as to form homogeneous regions in ground objects. …”
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Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…This study proposes a robust and efficient denoising framework specifically designed for CT and MRI images corrupted by Gaussian noise. The method integrates a cluster-wise principal component analysis (PCA) thresholding approach guided by the Marchenko–Pastur (MP) law from random matrix theory and a non-local means algorithm. …”
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Using Artificial Intelligence Techniques for Image Compression by Baydaa Khaleel

“…Traditional clustering algorithm k-means and AITs were used, such as Gath-Geva fuzzy clustering algorithm, and Particle Swarm Optimization Technique(PSO), and combined Gath-Geva with backpropagation neural network to produce a new method which is called Fuzzy BackPropagation Network (FBPN) algorithm, by applying these methods on gray level and color images and then applying compression algorithm RLE on it to obtain compressed image. …”
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Weak Edge Detection Algorithm for Medical Images Based on Full Convolution Neural Network by LI Xiao-feng, LI Dong, WANG Yan-wei

“…Aiming at the existing image weak edge detection algorithm，it is easy to ignore the selection of threshold in edge calculation，and there is no clustering analysis of the data，which leads to the problem that the detection effect is not good. …”
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