Energy Decomposition Based Multiscale Approach to Image Texture

张继贤; 柳健

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Energy Decomposition Based Multiscale Approach to Image Texture

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- Energy Decomposition Based Multiscale Approach to Image Texture
- Acta Electronica Sinica Issue 12, (1997)
- 作者机构：
  
  华中理工大学图像识别与人工智能研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Published：1997
- 稿件说明：
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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).
[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. DOI：

张继贤, 柳健. Energy Decomposition Based Multiscale Approach to Image Texture[J]. Acta Electronica Sinica, 1997, (12). DOI：

摘要

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．

Abstract

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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Tree-Structured Wavelet Decomposition and ItsApplication on Textured Images Compression

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Institute of Information Engineering, Xi ’ an Jiaotong University

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