CODEWITHSUNDEEP
visual-c++image-processingopencvcomputer-vision
User0967
User0967

Reputation: 131

How do we remove illumination noise?

I have a car detecting project in OpenCV2.3.1 and visual C++.

In foreground segmentation, there's reflections due to illumination. And this (reflections) become part of the foreground after the background has been removed. enter image description here

I need suggestions or ideas on how to remove this noise. As it causes some foreground objects to be connected up as one object, like seen when using findContours and drawContours functions. See image parts highlighted in red on attached image. I think this will simplify the blob detection stage.

*note - I am not allowed to use built-in cvBlobLib in OpenCV

Upvotes: 6

Views: 5613

Answers (2)

Tae-Sung Shin
Tae-Sung Shin

Reputation: 20620

Issue here is that part of a glare can be either background or corresponding car.

Here is what I would do.

I believe you would not have a big problem with identifying glare parts by binarizing and thresholding or in a similar way.

Once identified all pixels of glares, I would replace each of the glare pixels with nearest non-glare pixel in the same row of the image. That way, a glare will be filled with car and background. With this method, then you would be able to detect cars without much problem.

Upvotes: 4

Stanley
Stanley

Reputation: 1441

maybe try to convert the image to HSV then filter high V amounts

IplImage imgHSV = cvCreateImage(cvGetSize(imgInput), 8, 3);
IplImage imgThreshold = cvCreateImage(cvGetSize(imgHSV), 8, 1);
cvInRangeS(imgHSV, cvScalar(0, 0, 90, 0), cvScalar(0, 0, 100, 0), imgThreshold);

..adjust scalars as needed to remove glare

Upvotes: 3

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