How to improve grayscale image quality for eye detection? [closed]

asked 2014-06-23 04:50:36 -0500

updated 2014-06-23 05:02:39 -0500

berak gravatar image

Hei guys,

Currently I am converting preview frames into grayscale using the codes below:

        Imgproc.cvtColor(matYuv, matRgb, Imgproc.COLOR_YUV420sp2RGB, 4);
        Imgproc.cvtColor(matRgb, matGray, Imgproc.COLOR_RGB2GRAY, 0);

I am using this preview frames for eye detection using haarcascades_eye.xml cascade classifier. Before passing the region of interest for eye detection, I'm doing some preprocessing as below:

        Imgproc.equalizeHist(matGray, matGray);

However, I find that the image produces is distorted as in "white washed" when the lighting is low and as a consequence, the eye detection is bad. Is there any preprocessing that can be done to enhance this images?


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Closed for the following reason question is not relevant or outdated by sturkmen
close date 2020-12-05 12:09:49.664235


Not answering your question, but you can use stronger methods for eye detection, for example flandmark detector.

GilLevi gravatar imageGilLevi ( 2014-06-23 13:13:13 -0500 )edit

Thx for the suggestion. Just browsed through the implementation of fladmark. Looks straightfoward. Btw, I am developing an Android application. Integrating with Android will include working with JNI etc. My only concern might be whether it would be too heavy on a smartphone.

Still looking for any optimization that can be done to the image before eye detection.

Jagatheesan Jack gravatar imageJagatheesan Jack ( 2014-06-24 06:47:16 -0500 )edit

if you restrict it to the face roi (detected by a cascade before), it won't be slower than applying a cascade for eyes again.

berak gravatar imageberak ( 2014-06-24 06:52:24 -0500 )edit