Feature extraction using the constrained gradient

被引：28

作者：

Lacroix, V ^{[1
]}

Acheroy, M ^{[1
]}

机构：

[1] Royal Mil Acad Belgium, Signal & Image Ctr, B-1000 Brussels, Belgium

来源：

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING | 1998年 / 53卷 / 02期

关键词：

feature extraction; line extraction; corner extraction; gradient; satellite images; aerial images;

D O I：

10.1016/S0924-2716(97)00035-X

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Low-level operators are needed in most computer vision applications in order to get relevant image primitives. In this paper, we present a line and a corner detector. Both operators use specific constraints on the gradient of the image intensity. The operators are applied to satellite and aerial images. The line detector is very useful for extracting roads even on the noisy SAR images, while the corner detector enables to detect salient points such as corners of buildings in aerial images. The information brought by these detectors completes the edge-based description of an image. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：85 / 94

页数：10

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