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一种基于强边缘块的时域多分辨率图像分割算法
引用本文:李哲,苏秀琴,杨小君,张广华.一种基于强边缘块的时域多分辨率图像分割算法[J].光子学报,2005,34(9):1408-1410.
作者姓名:李哲  苏秀琴  杨小君  张广华
作者单位:中国科学院西安光学精密机械研究所,西安,710068;中国科学院研究生院,北京,100039;中国科学院西安光学精密机械研究所,西安,710068
摘    要:针对序列图像的变化检测,提出了一种基于强边缘块的时域多分辨率图像分割算法.首先在具有明显边缘特征的图像序列中,提取图像强边缘块的直方图,然后,利用时域多分辨算法,比较不同帧之间的图像差异.这种方法不但能够检测出图像的变化,而且能够确定图像变化的类型.在阈值的选取过程中,采用了自适应阈值方法,实验证明这种方法取得了较好的效果.

关 键 词:强边缘块  多分辨率  图像分割  自适应阈值
收稿时间:2004-07-02
修稿时间:2004年7月2日

An Algorithm of Multi-resolution Steps Image Partition Based on Strong Edge Blocks
Li Zhe,Su Xiuqin,Yang Xiaojun,Zhang Guanghua.An Algorithm of Multi-resolution Steps Image Partition Based on Strong Edge Blocks[J].Acta Photonica Sinica,2005,34(9):1408-1410.
Authors:Li Zhe  Su Xiuqin  Yang Xiaojun  Zhang Guanghua
Institution:(1 Xi’an Institute of Optics and Precision Mechanics of CAS,Xi’an 710068)
(2 Gracluat School of Chinese Ademy of Sciences,Beijing 100039)
Abstract:According to the detection of changes in image sequences,an algorithm of multi-resolution steps image partition based on strong edge blocks is proposed in this papers. Firstly, the histogram is computed from the strong edge blocks in the image sequences. Then, different images are compared by algorithm of multi-resolution steps. This method can not only further detect the changes of image, but also judge the types of changing images. In the process of selecting thresholds, the adaptive thresholds are used. The experimental results show that this method is promising.
Keywords:Strong edge blocks  Multi-resolution steps  Image partition  Adaptive threshold
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