FREQUENCY AND ORIENTATION SENSITIVE TEXTURE MEASURES USING LINEAR SYMMETRY

被引：10

作者：

BIGUN, J

机构：

[1] Swiss Federal Institute of Technology, Signal Processing Laboratory, Department of Electrical Engineering

来源：

SIGNAL PROCESSING | 1992年 / 29卷 / 01期

关键词：

LOCAL SYMMETRY; LINEAR SYMMETRY; SEGMENTATION; TEXTURES; TEXTURE FEATURES; AERIAL IMAGES; LOCAL IMAGE DESCRIPTION; LOCAL ORIENTATION; FREQUENCY DECOMPOSITION; LAPLACIAN PYRAMID; RESOLUTION PYRAMID;

D O I：

10.1016/0165-1684(92)90095-E

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An efficient method for computing texture features based on dominant local orientation is introduced. The features are computed as a Laplacian pyramid is built. At each level of the Laplacian pyramid, the linear symmetry feature is computed. This feature is anisotropic and estimates the optimal local orientation in the Least Square Error (LSE) sense. It is complex valued and hence consists of two components, the local orientation estimate and its confidence measure based on the error. The algorithm is based on convolutions with simple separable filters and pixel-wise non-linear arithmetic operations. These properties allow highly parallel implementation. for example on a pyramid machine, yielding real time applications. Comparative experimental results are presented using the feature for unsupervised segmentation on test images of natural aerial image textures.

引用

页码：1 / 16

页数：16

共 29 条

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