华中理工大学图像识别与人工智能研究所
纸质出版:1997
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[1]张继贤,柳健.基于能量分解的影像纹理多尺度分析[J].电子学报,1997(12):15-20.
张继贤, 柳健. Energy Decomposition Based Multiscale Approach to Image Texture[J]. Acta Electronica Sinica, 1997, (12).
按照二维Gabor函数的特点和视觉机制,提出了用来捕捉纹理基元的纹理检测器函数.基于纹理检测器和扩展的小波变换,提出了基于能量分解的影像纹理多尺度分析方法,并按照神经动力学的侧抑制和端点抑制等理论,实现了对多尺度纹理特征的融合.这一多尺度分析方法直接将影像纹理能量在时间一尺度空间分解,包含了相位信息,避免了基于线性变换多尺度分解引起的能量与相位分离,为纹理分析提供了一个层次性的框架,有效提高了纹理的识别能力.
In this paper
a textural detector based on 2D Gabor function and visual textural perception isestablished first. then based on the textural detector and recent developed theory of time-scale space decomposition
a general class extending wavelet transform
an energy distribution based mtlltiscale texture analysis methodis proposed. The multiscale texture analysis techniqUe gives textural energy representation between spatial spaceand scale space
and provides a hierarchical analysis framework for image texture. They can detect different scaletexture features
correspond to the visual texture perception
and have the ability to recognize texture image effectively.
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