Deep Temporal Joint Clustering for Satellite Image Time-Series Analysis by Wenqi Guo, Zheng Zhang, Yu Meng, Weixiong Zhang, Shichen Gao, Ping Tang

“…Compared to traditional K-means and projection algorithms, DTJC significantly improves clustering accuracy, especially in environments with complex geographical distributions. …”
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Adaptive clustering for medical image analysis using the improved separation index by Mojtaba Jahanian, Abbas Karimi, Nafiseh Osati Eraghi, Faraneh Zarafshan

“…Abstract Clustering high-dimensional biomedical data without prior knowledge of the number of clusters remains a major challenge in medical image and signal analysis. …”
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SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network by Jiahui E, Lu Wang, Chunhui Zhao, P. Takis Mathiopoulos, Tomoaki Ohtsuki, Fumiyuki Adachi

“…Second, a two-stage Weighted Center Constrained Fuzzy C-Means clustering algorithm is proposed. To constrain incorrect migration in the subsequent clustering phase, the algorithm uses a two-stage clustering algorithm. …”
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Image Segmentation Algorithm Named FSICM Based on Spatial Information by ZHU Suxia, ZU Hongliang, SUN Guanglu

“…In this paper, we present a fuzzy spatial information cmeans clustering (FSICM) algorithm for image segmentation by introducing spatial information, in order to overcome the defects of being sensitive to noises and outliers in image brought by Fuzzy cmeans clustering (FCM) algorithm The algorithm effectively utilizes the spatial information of the image and the gray information of the image to be segmented, and improves the segmentation accuracy of the noisy image Firstly, the spatial function is introduced into the membership function to change the membership weight of each pixel so as to suppress the noise Then, the neighborhood information of pixels in the image is taken into account, each pixel is processed to form a linear weighted image, and the gray histogram of the newly formed image is clustered Experimental results of both synthetic and real images show that the segmentation accuracy of FSICM algorithm for noise image is above 99% Compared with other algorithms, the algorithm proposed in this paper can remove noise while maintaining important details of the image and is robust to noise images…”
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Robust FCM Algorithm with Local and Gray Information for Image Segmentation by Hanane Barrah, Abdeljabbar Cherkaoui, Driss Sarsri

“…However, almost all the extensions require the adjustment of at least one parameter that depends on the image itself. To overcome this problem and provide a robust fuzzy clustering algorithm that is fully free of the empirical parameters and noise type-independent, we propose a new factor that includes the local spatial and the gray level information. …”
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The Hubble Image Similarity Project by Richard L. White, J. E. G. Peek

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A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images by Hanan Ahmed Hosni Mahmoud, Abeer Abdulaziz AlArfaj, Alaaeldin M. Hafez

“…In this paper, we are introducing a fast hybrid fuzzy classification algorithm with feature reduction for medical images. …”
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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

“…This study focuses on the utilization of clustering models to group manuscript images from the OKU Timur region based on specific characteristics. …”
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A Multidimensional Particle Swarm Optimization-Based Algorithm for Brain MRI Tumor Segmentation by Zsombor Boga, Csanád Sándor, Péter Kovács

“…Particle Swarm Optimization (PSO) has been extensively applied to optimization tasks in various domains, including image segmentation. In this work, we present a clustering-based segmentation algorithm that employs a multidimensional variant of PSO. …”
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Unsupervised Image Classification Based on Fully Fuzzy Voronoi Tessellation by Xiaoli Li, Longlong Zhao, Hongzhong Li, Luyi Sun, Pan Chen, Ruixia Jiang, Jinsong Chen

“…To deal with this problem, the unsupervised image classification algorithm based on fully fuzzy Voronoi tessellation is proposed. …”
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An intelligent recognition method of deep shale gas reservoir laminaset based on laminaset clustering and R-L-M algorithm by Yu Zeng, Fuqiang Lai, Haijie Zhang, Yi Jiang, Junwei Pu, Tongtong Luo, Xiaoxia Zhao

“…Based on electrical imaging logging images, a laminaset clustering algorithm was designed to segment the laminaset and then Levenberg-Marquardt (L-M) algorithm was improved by introducing a random forest to obtain the R-L-M algorithm, which was used to extract key parameters of laminaset such as attitude, type, density, and thickness. …”
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Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

“…Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform. …”
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Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

“…This work introduces a novel and practical metaheuristic algorithm, the Gaslike Social Motility (GSM) algorithm, designed for optimization and image thresholding segmentation. …”
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Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer by Achmad Nurul Fauzie, Setyawan Purnomo Sakti, Rahmadwati

“…However, computationally intensive computations can take a long time to process large images. Therefore, a parallel algorithm implementation is necessary to accelerate the process. …”
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Low‐rank isomap algorithm by Eysan Mehrbani, Mohammad Hossein Kahaei

“…The superiority of the LRI algorithm compared to some state‐of‐art algorithms is experimentally verified on facial image clustering in terms of speed and accuracy.…”
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Land cover classification of high-resolution remote sensing images based on improved spectral clustering. by Song Wu, Jian-Min Cao, Xin-Yu Zhao

“…The Lanczos algorithm, which determines the largest eigenpairs of a high-order matrix, was integrated with the spectral clustering algorithm to solve for eigenvalues and eigenvectors. …”
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A Novel Azimuth Channel Errors Estimation Algorithm Based on Characteristic Clusters Statistical Treatment by Wensen Yang, Ran Tao, Hao Huan, Jing Feng, Longyong Chen, Yihao Xu, Junhua Yang

“…However, in practical engineering applications, errors between channels can significantly affect the reconstruction of multi-channel echo data, leading to a degraded synthetic aperture radar image. To address this issue, this article derives the formula expression in the two-dimensional time domain after single-channel processing under the assumption of an insufficient azimuth sampling rate and proposes a novel algorithm based on the statistical treatment of characteristic clusters. …”
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Adaptive-clustered image-block hierarchical DCT hybrid digital-analog wireless transmission method by Shu TANG, Peng YANG, Xianzhong XIE, Guangyi ZHOU, Jiaqing LI, Yu ZHAO

“…In order to achieve high quality image transmission, a novel hybrid digital-analog (HDA) wireless transmission method was proposed.Firstly, the image residual layer was constructed by subtracting the downsampled and upsampled images from the original image respectively.Secondly, an adaptive-clustered block-level discrete cosine transform (DCT) algorithm was proposed to efficiently remove the correlation between image pixels in the residual layer.Finally, an image block level-based unequal power allocation strategy for further boosting the quality of received images was proposed.Extensive experiments results demonstrate that the proposed method is significantly superior to existing successful hybrid digital analog image wireless transmission methods in both qualitative evaluation and quantitative measurement.…”
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The use of pretrained neural networks for solving the problem of reverse searching of X-ray images of prohibited items and substances by A. K. Volkov, L. V. Mironova, S. E. Potapova

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Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm by Jinli Cui, Yadong Wang, Ke Wang

“…It contains the following two relatively independent research directions: medical imaging system and medical image processing. In this paper, we expect to improve the mining ability of medical image information with the help of the meanshift algorithm based on the key technology of the medical image intelligent mining algorithm. …”
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