Handheld blade nondestructive measurement method and device based on visual measurement
A technology of visual measurement and measurement device, applied in the field of visual measurement, can solve the problems of low precision and time-consuming measurement, and achieve the effects of low cost investment, simple operation and accurate blade area
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Embodiment 1
[0024] refer to Figure 1-Figure 4 , a hand-held blade non-destructive measurement device based on visual measurement, including a support rod 1, an adjustable stabilizing mechanism 2 and an adjustable shooting mechanism 3, the bottom of the support rod 1 is fixed with a support boss 4, and the support rod 1 is covered with a handle 5 and the adjustable stabilizing mechanism 2, and the adjustable stabilizing mechanism 2 is located on the handle 5, the adjustable shooting mechanism 3 is fitted on the support rod 1, and the adjustable shooting mechanism 3 is located on the adjustable stabilizing mechanism 2 Above, the upper part of the support rod 1 is fixedly equipped with a limit sleeve 6, and the adjustable stabilizing mechanism 2 and the adjustable shooting mechanism 3 can be disassembled, and can be easily carried when carrying out outdoor measurements.
[0025] The adjustable stabilizing mechanism 2 includes a stabilizing arm 20, a first adjusting screw 21, a connecting pi...
Embodiment 2
[0038] The difference with Embodiment 1 is that the hand-held blade non-destructive measurement method based on visual measurement mainly includes the following steps:
[0039] S1: Leaf image acquisition, the leaves to be tested growing on the branches are placed on the glass plate 24 in the middle of the sampling plate 23, and a white square cardboard with a side length of 3 cm is placed next to the leaves to be tested as a reference object, Take pictures by taking pictures with device 39;
[0040] S2: image preprocessing, the image obtained in S1 is preprocessed by the processing system carried by the camera device 39, and the shadow area is removed;
[0041] S3: Image processing, adjusting the pre-processed image format into a grayscale image, and sequentially performing image enhancement and leaf edge detection on the grayscale image;
[0042] S4: Image marking, transfer the picture obtained in S3 to the computer, and obtain the pixel value of the blade to be measured and...
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