文件名称:PicEnergy
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根据被测图像纹理背景和目标区域在小波变换域内图像能量分布的不同,以及经过多尺
度分解后在各子空间信息分布的不同,提出与背景纹理的方向无关,把目标的变化具有旋转、平移
以及尺度不变性的能量特征作为检测的依据。实验证明该方法具有较好的适应性。-According to the measured image texture background and target region in wavelet transform domain energy distribution of the different images, as well as a multi-scale decomposition in the sub-space distribution of the different information with respect to the direction of the background texture has nothing to do with changes in the target rotation, translation as well as the scale invariance of the energy feature as the basis for detection. Experiments show that the method has better adaptability.
度分解后在各子空间信息分布的不同,提出与背景纹理的方向无关,把目标的变化具有旋转、平移
以及尺度不变性的能量特征作为检测的依据。实验证明该方法具有较好的适应性。-According to the measured image texture background and target region in wavelet transform domain energy distribution of the different images, as well as a multi-scale decomposition in the sub-space distribution of the different information with respect to the direction of the background texture has nothing to do with changes in the target rotation, translation as well as the scale invariance of the energy feature as the basis for detection. Experiments show that the method has better adaptability.
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PicEnergy.pdf