Research of image segmentation based on theory of morphological connectivity

机译：基于形态连通性理论的图像分割研究

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摘要

Image segmentation is a common problem in image processing. Due to various image types and diversified applications, there is no widely accepted segmentation method. In this paper, the morphological connection theory is used to segment a color image into several irregularly shaped connected regions (i.e. equivalence class) based on their distributions of hue, intensity and texture, etc. As the pixels in a same connected region possesses the same or similar feature, the proposed method is provided with a good segmentation result for smooth and texture regions. The validity of proposed method is demonstrated through experiments.

机译：图像分割是图像处理中的常见问题。由于各种图像类型和多样化的应用，没有被广泛接受的分割方法。本文采用形态学联系理论，基于其色相，强度和纹理等分布，将彩色图像分割成几个不规则形状的连通区域（即等价类）。由于同一连通区域中的像素具有相同的或类似特征，该方法对平滑区域和纹理区域具有良好的分割效果。通过实验证明了该方法的有效性。

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来源
《2017 International Conference on Security, Pattern Analysis, and Cybernetics》|2017年|335-339|共5页
会议地点 Shenzhen(CN)
作者
Tianzhen Dong; Mingyang Qin; Wenju Li; Lanfeng Zhou; Xiao Qi;
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作者单位

Department of Computer Science and Information Engineering Shanghai Institute of Technology, Shanghai 201418, China;

Department of Computer Science and Information Engineering Shanghai Institute of Technology, Shanghai 201418, China;

Department of Computer Science and Information Engineering Shanghai Institute of Technology, Shanghai 201418, China;

Department of Computer Science and Information Engineering Shanghai Institute of Technology, Shanghai 201418, China;

Department of Computer Science and Information Engineering Shanghai Institute of Technology, Shanghai 201418, China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Image segmentation; Color; Hidden Markov models; Image color analysis; Brightness; Probability;

机译：图像分割;颜色;隐马尔可夫模型;图像颜色分析;亮度;概率;;

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Research of image segmentation based on theory of morphological connectivity

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