Abstract:
Device cameras or webcams are photoconductive devices that are sensitive
to near-infrared (NIR) wavelengths, but most of these cameras are fitted with a
blocking filter to this wavelength and allowing visible lights such as the red, green,
and blue (RGB) bands. NIR image property becomes more important due to its
sensitivity to the vegetation. The research objectives are enabling the NIR being
captured by replacing the red band into the webcam using super-blue filter and
segmenting vegetation from the image captured. This modified NIR webcam is
becoming vegetation imaging capturer by combining with NIR - blue channel weighting
image processing and histogram thresholding method. The modified NIR webcam and
vegetation segmentation approach distinguish canopy from its environment with high
accuracy and high sensitivity as it was validated with manual segmented image as a
ground truth.
Keywords: webcam, near-infrared, RGB bands, NIR - blue channel weighting, histogram
thresholding, vegetation segmentation.
