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Adaptive mean-shift standing tree image segmentation method based on image abstraction

An image segmentation and self-adaptive technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as misjudgment, lack of adaptability, and inability to apply other tree species, achieve complete clustering, and improve segmentation accuracy. Effect

Active Publication Date: 2022-03-01
ZHEJIANG FORESTRY UNIVERSITY
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Problems solved by technology

Huang Jian et al [15] People obtain ideal training samples by training the texture features of the trunk part, so as to achieve the purpose of trunk segmentation, but this method only considers texture information for trunk segmentation, which is easy to cause misjudgment, and cannot be applied to other tree species, lacking adaptability

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  • Adaptive mean-shift standing tree image segmentation method based on image abstraction
  • Adaptive mean-shift standing tree image segmentation method based on image abstraction
  • Adaptive mean-shift standing tree image segmentation method based on image abstraction

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Embodiment 1

[0056] The present invention is a kind of adaptive Mean-Shift standing tree image segmentation method based on image abstraction, comprising the following steps:

[0057] Step 1: Perform multi-angle image abstraction on the standing tree images collected in the natural environment

[0058] First, the test image was taken from the natural environment using the Hammer mobile phone camera. The shooting time was autumn and daytime. The image resolution was the original mobile device shooting size of 3120×4160 pixels, the collection distance was 8m, and the elevation angle was 40°. Ginkgo tree images such as figure 2 As shown (the image is a color image, in order to comply with the requirements of the relevant drawings in the Patent Law Implementation Rules, decolorization processing has been carried out).

[0059] Then the collected standing tree images are processed by bilateral filtering method for spatial smoothing. The weight of bilateral filtering not only considers the Eu...

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Abstract

The invention discloses an adaptive Mean-Shift standing tree image segmentation method based on image abstraction, comprising the following steps: step 1, performing multi-angle image abstraction on the collected standing tree image, adopting a bilateral filtering method for smoothing processing, and adopting an image pyramid method For further smoothing and blurring; step 2, using the step size detection method to obtain the adaptive spatial bandwidth of the position characteristics of the abstract standing tree image in step 1 h s , Color features use the insertion rule method to obtain the value domain bandwidth h r , combined with Gaussian kernel function adaptive Mean-Shift clustering to obtain the standing tree clustering image; use the FloodFill method to fill, and filter the noise to extract the region of interest and perform mathematical morphology processing to obtain the standing tree segmentation image. The segmentation method of the present invention can reduce the influence of the background information of the standing tree image and the canopy gap on the clustering, make the clustering of the standing tree image more complete and smooth, and greatly improve the segmentation accuracy of the standing tree image.

Description

technical field [0001] The invention relates to a tree image segmentation method, in particular to an image abstraction-based self-adaptive Mean-Shift standing tree image segmentation method. Background technique [0002] Digital image processing based on machine vision is widely used in agriculture and forestry, such as non-destructive testing of agricultural products [4] , fruit division [5] , plant disease [6] , stand volume estimation [7] , the dendrogram factor extraction [8] Wait. Image segmentation is the key to image analysis and recognition, and the results of standing tree image segmentation can be used for visual reconstruction of standing trees, depth information extraction, tree height measurement of standing trees, etc. [9-10] Provides image information that is easy to understand and analyze. [0003] In the prior art, there are many methods for standing tree image segmentation. such as Jiang Shihui [11] Humans only use the color features of the color s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10G06T5/00G06K9/62
CPCG06T5/002G06T7/10G06T2207/30161G06F18/23213
Inventor 徐爱俊杨婷婷周素茵
Owner ZHEJIANG FORESTRY UNIVERSITY
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