基于遗传算法的快速人脸检测系统的阈值方法

The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI:10.1109/ANZIIS.2001.974073

Y. Mitsukura, M. Fukumi, N. Akamatsu

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引用次数: 2

摘要

多值图像的阈值选择是基于图像的颜色信息进行的。当图像中的阈值固定时，它对其他图像缺乏通用性。因为颜色信息在光照条件的影响下会发生变化。本文采用遗传算法在光照条件下选取唇色和肤色的最可能值。仅利用颜色信息就可以从多值图像中提取目标。本文选取的提取对象为人的嘴唇和皮肤颜色。

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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Fast face detection system using the GA-based threshold method

Threshold selection in multi-value images is performed based on their color information. When the threshold in an image is fixed it lacks versatility for the others. Because the color information varies under the influence of light conditions. In this paper, a genetic algorithm (GA) is used to select the most likely values of lips and skin colors in a light condition. It is possible to extract objects from the multi-value image only with the color information. In this paper, the objects of extraction are chosen to be the human lips and skin colors.

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来源期刊

The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001

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