A Spatially-Constrained Color–Texture Model for Hierarchical VHR Image Segmentation

Hu Z.; Wu Z.; Zhang Q.; Fan Q.; Xu J.

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A Spatially-Constrained Color–Texture Model for Hierarchical VHR Image Segmentation

机译：分层VHR图像分割的空间约束颜色纹理模型

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摘要

This letter presents a novel spatially-constrained color–texture model for hierarchical segmentation of very high resolution images. The segmentation starts with an initial partition, where the image is partitioned into many homogeneous regions. Then, the regions are regarded as node sets of a region adjacency graph, in which the distances of each pair of adjacent regions are calculated combining color and textural features with spatial constraint. Finally, a stepwise optimized region merging process is applied to obtain hierarchical segmentation results. Experiments and comparisons by using different satellite images are carried out to demonstrate the encouraging performance as well as the high efficiency of the proposed method.

机译：这封信提出了一种用于高分辨率图像的分层分割的新颖的空间受限颜色纹理模型。分割从初始分区开始，在该分区中，图像被划分为许多均匀区域。然后，将这些区域视为区域邻接图的节点集，其中将颜色和纹理特征与空间约束相结合，计算出每对相邻区域的距离。最后，应用逐步优化的区域合并过程以获得分层分割结果。通过使用不同的卫星图像进行实验和比较，以证明所提方法的令人鼓舞的性能以及高效率。

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来源
《Geoscience and Remote Sensing Letters, IEEE》 |2013年第1期|p.120-124|共5页
作者
Hu Z.; Wu Z.; Zhang Q.; Fan Q.; Xu J.;
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作者单位

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan , China;

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正文语种 eng
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关键词
Color–texture segmentation; hierarchical region merging; hierarchical stepwise optimization (HSWO); local binary patterns (LBPs); remote sensing images; spatial constraint;

机译：颜色纹理分割;分层区域合并;分层逐步优化（HSWO）;局部二值模式（LBP）;遥感图像;空间约束;

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专利

1. Markov random field models for unsupervised segmentation of textured color images [J] . Panjwani D.K., Healey G. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1995,第10期

机译：马尔可夫随机场模型用于纹理图像的无监督分割
2. A Markov random field image segmentation model for color textured images [J] . Zoltan Kato, Ting-Chuen Pong Image and Vision Computing . 2006,第10期

机译：彩色纹理图像的马尔可夫随机场图像分割模型
3. Topic Modelling for Object-Based Unsupervised Classification of VHR Panchromatic Satellite Images Based on Multiscale Image Segmentation [J] . Li Shen, Linmei Wu, Yanshuai Dai, Remote Sensing . 2017,第8期

机译：基于多尺度图像分割的VHR全色卫星图像基于对象的无监督分类的主题建模
4. A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images [C] . Hedjam R., Mignotte M. Image Processing (ICIP 2009), 2009 . 2009

机译：基于层次图的马尔可夫聚类方法用于纹理图像彩色图像的无监督分割
5. Unsupervised segmentation of noisy and textured images modeled by Markov random fields. [D] . Gregoriou, Georghios Kyriacos. 1992

机译：由Markov随机场建模的噪点和纹理图像的无监督分割。
6. A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images [O] . Rebecca Smith, Kayvan Najarian, Kevin Ward 2009

机译：一种基于主动形状模型和定向霍夫变换的分层方法用于分割嘈杂的生物医学图像；在骨盆X线图像分割中的应用
7. A hierarchical graph-based Markovian clustering approach for the unsupervised segmentation of textured color images [O] . Rachid Hedjam, Max Mignotte 2009

机译：基于层次图的马尔可夫聚类方法，用于纹理图像的无监督分割

A Spatially-Constrained Color–Texture Model for Hierarchical VHR Image Segmentation

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