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Matching by Monotonic Tone Mapping
IEEE Transactions on Pattern Analysis and Machine Intelligence ( IF 23.6 ) Pub Date : 2017-06-02 , DOI: 10.1109/tpami.2017.2711613
Gyorgy Kovacs

In this paper, a novel dissimilarity measure called Matching by Monotonic Tone Mapping (MMTM) is proposed. The MMTM technique allows matching under non-linear monotonic tone mappings and can be computed efficiently when the tone mappings are approximated by piecewise constant or piecewise linear functions. The proposed method is evaluated in various template matching scenarios involving simulated and real images, and compared to other measures developed to be invariant to monotonic intensity transformations. The results show that the MMTM technique is a highly competitive alternative of conventional measures in problems where possible tone mappings are close to monotonic.

中文翻译:

通过单调色调映射进行匹配

在本文中,一种新颖的相异性度量称为 通过单调色调映射进行匹配(MMTM)。MMTM技术允许在非线性单调色调映射下进行匹配,并且当色调映射通过分段常数或分段线性函数近似时,可以有效地进行计算。所提出的方法在涉及模拟和真实图像的各种模板匹配方案中进行了评估,并与开发为对单调强度变换不变的其他度量进行了比较。结果表明,在可能的音调映射接近单调的问题中,MMTM技术是传统方法的极具竞争力的替代方案。
更新日期:2018-05-05
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