INFRARED IMAGE REGION MATCHING ALGORITHMS BASED ON PHASE CONGRUENCY TRANSFORMATION

被引：3

作者：

Guo Long-Yuan ^{[1
]}

Lu A-Li ^{[1
]}

Yang Jing-Yu ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Comp Sci & Technol, Nanjing 210094, Peoples R China

来源：

JOURNAL OF INFRARED AND MILLIMETER WAVES | 2009年 / 28卷 / 01期

关键词：

computer vision; phase congruency; region matching; infrared image;

D O I：

10.3724/SP.J.1010.2009.00035

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Infrared images have higher noise and lower resolution than visible images. This makes it more difficult to achieve a better disparity image in infrared images by using the method based on region matching. After analyzing the phase congruency transformed image, a new region matching method was presented. First, the images were transformed by phase congruency. Next, the images were matched based on region correlation. The experimental result indicates that the noise of images is restrained and the feature is more distinct after phase congruency. The better matching results can be obtained after we use the region correlation on the changed images.

引用

页码：35 / +

页数：4

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