基于形态学分割的改进Harris角检测器人眼彩色图像检测

2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM) Pub Date : 2012-12-01 DOI:10.1109/ICETEEEM.2012.6494458

A. Das, D. Ghoshal

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引用次数: 9

摘要

提出了一种基于改进的Harris角点检测算法的人眼彩色图像检测新方法。首先利用YCbCr颜色空间的Cb分量对人眼进行人脸检测。其次，将Harris角点检测器应用于形态学预处理后提取的人脸，利用任意两个角点(一个角点代表一只眼睛)来检测眼睛;本研究的眼睛检测率为88%，与其他标准算法的检测率相当。

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Human eye detection of color images based on morphological segmentation using modified Harris corner detector

This paper presents a novel method for human eye detection of color images based on modified Harris corner detection algorithm. The face detection from human face images is first performed using Cb component of YCbCr color space to detect eyes. Secondly, Harris corner detector is applied on a morphologically pre-processed extracted human face to detect eyes using only two arbitrary corner points (one corner point for one eye). This study is found to yield 88% eye detection rate which is comparable with the same obtained by other standard algorithm.

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来源期刊

2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)

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