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首页> 外文会议>Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US >Optimized Multi-channel Decomposition for Texture Segmentation Using Gabor Filter Bank
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Optimized Multi-channel Decomposition for Texture Segmentation Using Gabor Filter Bank

机译：使用Gabor滤波器组的纹理分割优化多通道分解

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摘要

Texture segmentation and analysis is an important aspect of pattern recognition and digital image processing. Previous approaches to texture analysis and segmentation perform multi-channel filtering by applying a set of filters to the image. In this paper we describe a texture segmentation algorithm based on multi-channel filtering that is optimized using diagonal high frequency residual. Gabor band pass filters with different radial spatial frequencies and different orientations have optimum resolution in time and frequency domain. The image is decomposed by a set of Gabor filters into a number of filtered images; each one contains variation of intensity on a sub-band frequency and orientation. The features extracted by Gabor filters have been applied for image segmentation and analysis. There are some important considerations about filter parameters and filter bank coverage in frequency domain. This filter bank does not completely cover the corners of the frequency domain along the diagonals. In our method we optimize the spatial implementation for the Gabor filter bank considering the diagonal high frequency residual. Segmentation is accomplished by a feedforward backpropagation multi-layer perceptron that is trained by optimized extracted features. After MLP is trained the input image is segmented and each pixel is assigned to the proper class.
机译：纹理分割和分析是图案识别和数字图像处理的重要方面。先前的纹理分析和分段方法通过将一组滤镜应用于图像来执行多通道滤镜。在本文中，我们描述了一种基于多通道滤波的纹理分割算法，该算法使用对角高频残差进行了优化。具有不同径向空间频率和不同方向的Gabor带通滤波器在时域和频域具有最佳分辨率。图像由一组Gabor滤镜分解为许多滤过的图像。每一个都包含子带频率和方向上强度的变化。 Gabor滤波器提取的特征已应用于图像分割和分析。关于滤波器参数和频域中的滤波器组覆盖范围，有一些重要的考虑因素。该滤波器组未完全覆盖对角线上的频域角。在我们的方法中，考虑对角高频残差，我们针对Gabor滤波器组优化了空间实现。分割是通过前馈反向传播多层感知器完成的，该感知器通过优化的提取特征进行训练。训练MLP后，将输入图像进行分割，并将每个像素分配给适当的类别。

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