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。
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.
本论文的研究内容围绕时域有限差分方法(FDTD)的改进算法一时域多分辨分析(MRTD)算法展开。
This paper focused on the improved algorithm of finite difference time domain (FDTD) method, which is named multi-resolution time domain (MRTD).
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。
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.
基于时域、多分辨率分析和规则基的电能质量扰动分类。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
基于时域、多分辨率分析和规则基的电能质量扰动分类。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
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