彩色背光图像补偿新算法

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1007720

M. Su, Jiaxuan Guo, Daw-Tung Lin, Guo Chung Wang

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引用次数: 8

摘要

本文提出了一种在背光情况下，不论物体位置如何，都能补偿曝光的新算法。为了实现这种补偿，首先使用模糊c均值算法从背光图像中提取特征。然后将这些提取的特征输入到基于som的模糊系统中以确定补偿量。对一组26张图像进行了测试，以说明该算法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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New compensation algorithm for color backlight images

This paper presents a new algorithm for compensating exposure in the case of backlighting, regardless of the position of objects. To achieve this compensation, the fuzzy c-means algorithm is first used to extract features from a backlight image. Then these extracted features are input into an SOM-based fuzzy system to determine the amount of compensation. A set of 26 images was tested to illustrate the performance of the algorithm.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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