Fuzzy clustering of color and texture features for image segmentation: A study on satellite image retrieval

W. S. Ooi; C. P. Lim

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Fuzzy clustering of color and texture features for image segmentation: A study on satellite image retrieval

机译：颜色和纹理特征的模糊聚类用于图像分割：卫星图像检索研究

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In this paper, a new image segmentation approach that integrates color and texture features using the fuzzy c-means clustering algorithm is described. To demonstrate the applicability of the proposed approach to satellite image retrieval, an interactive region-based image query system is designed and developed. A database comprising 400 multispectral satellite images is used to evaluate the performance of the system. The results are analyzed and discussed, and a performance comparison with other methods is included. The outcomes reveal that the proposed approach is able to improve the quality of the segmentation results as well as the retrieval performance.

机译：本文介绍了一种使用模糊c均值聚类算法融合颜色和纹理特征的新图像分割方法。为了证明所提出的方法在卫星图像检索中的适用性，设计并开发了一个基于区域的交互式图像查询系统。包含400个多光谱卫星图像的数据库用于评估系统的性能。分析和讨论了结果，并包括了与其他方法的性能比较。结果表明，所提出的方法能够提高分割结果的质量以及检索性能。

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《Journal of intelligent & fuzzy systems: Applications in Engineering and Technology》 |2006年第3期|共15页
作者
W. S. Ooi; C. P. Lim;
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正文语种 eng
中图分类自动化系统;
关键词
Image segmentation; Fuzzy c-means clustering; Color space quantization; Co-occurrence matrix; Image region extraction; Satellite image retrieval;

机译：图像分割;模糊c均值聚类;色彩空间量化;共现矩阵;图像区域提取;卫星图像检索;

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专利

1. Fuzzy clustering of color and texture features for image segmentation: A study on satellite image retrieval [J] . W.S. Ooi, C.P. Lim Journal of Intelligent and Fuzzy Systems . 2006,第3期

机译：颜色和纹理特征的模糊聚类用于图像分割：卫星图像检索研究
2. Segmentation and Denoising of Noisy Satellite Images based on Modified Fuzzy C Means Clustering and Discrete Wavelet Transform for Information Retrieval [J] . Ganesan P, Dr V.Rajini International Journal of Engineering and Technology . 2013,第5期

机译：基于修改模糊C的嘈杂卫星图像分割和去噪：信息检索信息检索的聚类和离散小波变换
3. Segmentation of color images using texture features and clustering method [J] . Kazunori Mori, Junji Maeda 電子情報通信学会技術研究報告. ITS. Intelligent Transport Systems Technology . 2002,第630期

机译：利用纹理特征和聚类方法对彩色图像进行分割
4. Segmentation of color textured images using dual tree complex wavelet features and fuzzy clustering [C] . Vasuki, S., Ganesan, . 2005

机译：利用双树复小波特征和模糊聚类对彩色纹理图像进行分割
5. Perceptually-based texture and color features for image segmentation and retrieval. [D] . Chen, Junqing. 2003

机译：基于感知的纹理和颜色特征，用于图像分割和检索。
6. Suspicious Lesion Segmentation on Brain Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering [O] . S. N. Kumar, A. Lenin Fred, P. Sebastin Varghese 2019

机译：基于新的优化空间特征的基于超像素模糊C均值聚类的脑乳房X线照片和乳房MR图像可疑病变分割
7. Color Textured Image Segmentation Using ICICM - Interval Type-2 Fuzzy C-Means Clustering Hybrid Approach [O] . Murugeswari Palanivel, Manimegalai Duraisamy 2012

机译：使用ICICM - 间隔Type-2模糊C-Meanse聚类混合方法的颜色纹理图像分割

Fuzzy clustering of color and texture features for image segmentation: A study on satellite image retrieval

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