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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