Image enhancement for point feature detection in built environment

V. Lehtola, P. Rönnholm
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引用次数: 2

Abstract

Image preprocessing is required for texture poor, low-contrast images to enable the functionality of local feature detection algorithms. This is especially true in built environment. We propose a novel image enhancement procedure that conserves the core `signal' in images, while enriching its environment by damping non-essential parts of the signal. Proposed image enhancement method is examined with SIFT, MSER and Harris corner detectors. As a result all detectors, which were originally not able to recover the essential features, improved their performance. Such features were detected also in areas that were not optimally illuminated.
建筑环境中点特征检测的图像增强
对于纹理差、对比度低的图像,需要进行图像预处理,以实现局部特征检测算法的功能。在建筑环境中尤其如此。我们提出了一种新的图像增强方法,该方法保留了图像中的核心“信号”,同时通过阻尼信号的非必要部分来丰富其环境。采用SIFT、MSER和Harris角点检测器对所提出的图像增强方法进行了验证。结果,原先无法恢复基本特征的所有检测器都提高了性能。这些特征也被发现在没有最佳照明的区域。
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