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Linear feature enhancing by Hyperbolic-Gaussian filtering

 

作者: F. NIÑO,   L. RIVERA,   J.-C PION,  

 

期刊: International Journal of Remote Sensing  (Taylor Available online 1993)
卷期: Volume 14, issue 14  

页码: 2617-2630

 

ISSN:0143-1161

 

年代: 1993

 

DOI:10.1080/01431169308904297

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Abstract. A new methodology for the linear feature enhancing of an image by filtering in Fourier space is presented. As a first step, the Fourier spectrum of the image is used to construct its rose diagram. A new filter is then applied in enhancement directions which are chosen directly from the rose diagram. In Fourier space, the proposed filter's transfer function is a surface whose section perpendicular to the enhanced direction is a Gaussian curve. The construction of this surface is made in such a way that filtering inanydirection is allowed. A sequence of analysis for the construction of an enhanced image using this filter is proposed. As an optional step, after constructing the enhanced image a binariza-tion can be made to facilitate the linear feature map extraction. The proposed binarization corresponds to the application of a local threshold technique. A pseudocode summary of each of the steps is included. A comparison with a simple directional filter is made.

 

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