An iterative h-minima improved watershed extraction method for an unmanned aerial vehicle high-resolution image single tree crown
An extraction method and watershed technology, applied in the field of single tree canopy extraction from UAV high-resolution images, can solve the problems of uneven brightness change, poor tree crown extraction effect, low detection accuracy of single tree crown position, etc. Reduce the effect of under-segmentation
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[0041] The iterative h-minima of the present invention improves the watershed UAV high-resolution image single tree canopy extraction method. First, the image is preprocessed, and then the position of the single tree canopy is detected through mutual cooperation between different h values, and the false mark detection method is used. Filter invalid marks, and finally introduce the principle of circular arc symmetry to limit the watershed submersion process, avoiding the overgrowth of tree crown marks and the merger of unmarked tree crowns.
[0042] Such as figure 1 As shown, the image is preprocessed first, the grayscale image is smoothed based on the morphological opening operation, the gradient image is calculated using the Sobel operator, and the gradient image is removed by the mean filter. The specific process includes:
[0043] 1) Reduce the intensity difference inside the canopy in the original image based on the morphological theory, and use the morphological opening o...
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