Method for detecting field water obstacle detection based on polarizing information
A technology of polarization information and obstacles, applied in the direction of photo interpretation, etc., can solve the problems of long detection time, inability to identify the water surface with reflection, and low accuracy.
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Embodiment 1
[0035] In the pre-check area A shown in FIG. 1 , there is a water body obstacle B (shown in the shaded part). The method of the present invention will be described below in conjunction with the flow chart of FIG. 3 , by analyzing the polarization information to detect water body obstacles and delineate the range of water body obstacles.
[0036] This embodiment uses a camera to acquire polarized images. Install a linear polarizing filter in front of the camera, aim at the same area and keep the camera position still, adjust the angles between the transmission axis of the polarizing filter and the horizontal plane to be 0°, 45°, and 90° respectively, and take three polarization images of the same area image. The three images have the same size and the same viewing angle, and the objects in the region have the same position in each image.
[0037] Note that the gray values of the pixels corresponding to the same position in these three images of 0°, 45°, and 90° are respecti...
Embodiment 2
[0065] In the pre-inspection area A shown in Figure 2, there is a water body obstacle B (shown in the shaded part), and the area D in the figure is not a water body obstacle.
[0066] This embodiment uses a camera to acquire polarized images. Install a linear polarizing filter in front of the camera, aim at the same area and keep the camera position still, adjust the angles between the transmission axis of the polarizing filter and the horizontal plane to be 0°, 45°, and 90° respectively, and take three polarization images of the same area image. The three images have the same size and the same viewing angle, and the objects in the region have the same position in each image.
[0067] Note that the gray values of the pixels corresponding to the same position in these three images of 0°, 45°, and 90° are respectively I 0 , I 45 and I 90 , taking the pixel point whose coordinates are (1, 1) in the upper left corner as an example, the gray value of this point in the three i...
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