Image-based plant three-dimensional shape measurement and reconstruction method and system
A three-dimensional form and image technology, applied in the direction of measuring device, image data processing, 3D modeling, etc., can solve the problems of inaccuracy, plant damage, inconvenience, etc., and achieve the effect of broad application prospects.
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Embodiment 1
[0092] In this embodiment, an image-based three-dimensional shape measurement and reconstruction method for plants proposed with cucumber as the research object is applicable to the measurement and reconstruction of three-dimensional shape of plants like cucumbers mainly composed of leaves. Specific steps are as follows:
[0093] S1. Image acquisition, such as Figure 5 As shown, the principle diagram of image acquisition is given. When shooting, first fix the camera as the shooting source on a tripod, then take an image, and then let the camera move vertically, descend or rise for a certain distance b, Take another image.
[0094] S2. Camera calibration, Figure 6 The camera calibration board formulated in this embodiment is given, the images of the calibration board are taken in different orientations, and the corner points of the grid are obtained through the corner point extraction algorithm. Then according to the geometric size of the calibration plate and the coordina...
Embodiment 2
[0116] In this embodiment, corn is taken as the research object, and an image-based three-dimensional shape measurement and reconstruction method for plants is proposed, which is applicable to the measurement and reconstruction of the three-dimensional shape of corn-like plants mainly composed of stems and stalks.
[0117] The difference from Example 1 is:
[0118] S3. Feature point extraction, the process of extracting the two-dimensional skeleton information of corn firstly divides and binarizes the corn image, and realizes the skeleton feature extraction through the improved Hilditch algorithm, first marks the binary image, and the part that needs to be refined 1 for the marker and 0 for the background. As shown in Table 1, the method of the present invention also considers the situation around each of the 8 points while considering the 8 adjacent points around each point, and according to the correlation between the point and the point to the Hilditch algorithm Restrictio...
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