HSV image color thresholding

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Riad Mahmud Anik
Riad Mahmud Anik am 29 Sep. 2017
Kommentiert: Image Analyst am 1 Okt. 2017
how can we filter out (turn black) any pixel that is not the color of the lanes? (in this case white or yellow.).I have converted the image in HSV from RGB.

Antworten (1)

Image Analyst
Image Analyst am 29 Sep. 2017
What lanes? Basically just create a mask of where the white or yellow pixels are that you want to blacken, then do this:
% Mask the image using bsxfun() function to multiply the mask by each channel individually.
maskedRgbImage = bsxfun(@times, rgbImage, cast(mask, 'like', rgbImage));
  2 Kommentare
Riad Mahmud Anik
Riad Mahmud Anik am 1 Okt. 2017
road lanes..."https://medium.com/computer-car/udacity-self-driving-car-nanodegree-project-1-finding-lane-lines-9cd6a846c58c"...i want to implement this project in matlab....but for a single image as input
Image Analyst
Image Analyst am 1 Okt. 2017
See road following algorithms here: http://www.visionbib.com/bibliography/contentsactive.html#Active%20Vision,%20Camera%20Calibration,%20Mobile%20Robots,%20Navigation,%20Road%20Following Sorry, I don't have code for any of them since autonomous navigation is not my field, but you can ask the authors.

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