矩不变量对灰度调整的稳定性分析

Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005. Pub Date : 2005-06-13 DOI:10.1109/ICSSSM.2005.1500176

Xingbin Bian, Qingxin Zhu

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引用次数: 1

摘要

瞬间可以独特地描述一个图像。对几何变换具有稳定性的矩不变量可以作为几何变换后图像识别的特征。然而，当灰度调整时，矩不变量会失去稳定性。通常图像处理会引起灰度调整，这限制了矩不变量的应用。分析了不变矩与灰度调整之间的关系，得出灰度直方图均衡化可以有效提高不变矩的稳定性。实验结果很好地证明了这一结论。

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Analysis of moment invariant's stability to gray-level adjustment

Moments can uniquely describe an image. Moment invariants with stability to geometric transformation can be used as features to recognize images despite geometric transformations. However, moment invariants lose stability when gray-levels are adjusted. Usually image processing may cause adjusting of gray-level, which limits application of moment invariants. This paper analyses the relation between invariant moments and gray-level adjustment, and concludes that gray-level histogram equalization can enhance the stability of invariant moments effectively. The conclusion is well proved by experiments.

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Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.

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