Hedge nursery stock pruning and centering method based on binocular vision
A binocular vision and hedgerow technology, applied in the field of hedgerow centering, can solve the problems of time-consuming and labor-consuming, low centering accuracy, and high requirements for operator proficiency, so as to improve the level of intelligence, improve operating efficiency, and accurately The effect of rate guarantee
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[0032] Please see attached figure 1 , a method for trimming and centering hedge seedlings based on binocular vision, comprising the following steps:
[0033] Step 1, the binocular camera acquires the hedge image and generates a point cloud
[0034] Such as figure 2 As shown, the binocular vision camera 2 is installed on the base of the manipulator, which can scan the hedge and other objects in the surrounding environment to obtain RGB images from different angles, and then calculate the disparity map of the left and right images based on the SGBM algorithm. relationship, calculate the depth value z of each pixel point, and further calculate the x, y coordinates of each spatial point, and then the spatial point cloud can be obtained.
[0035] Step two, use the convolutional neural network to complete the target recognition of the hedgerow.
[0036] The invention adopts the MASK-RCNN target detection network to detect the hedgerow target; the hedgerow point cloud can be more...
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