Crop canopy segmentation method based on depth information

Abstract

The invention discloses a crop canopy segmentation method based on depth information. The method comprises the steps: for overcoming difficulties existing in field crop region segmentation in agriculture, respectively acquiring a depth image and a color image of a crop canopy; analyzing the relative distance between the noise of the crop canopy part and a camera for shooting a depth image; settinga proper depth threshold value, calibrating a canopy region of a crop in a depth image, carrying out the image registration, and projecting the canopy position of the crop in the depth image to a two-dimensional spectral image such as a color image shot at the same position, so the crop region can be rapidly, simply and conveniently separated from the image. According to the method provided by the invention, the crops are segmented from the perspective of depth information, field noise does not need to be analyzed, the crops can be rapidly extracted, background noise in the crops is preventedfrom being analyzed, and a crop canopy and a field background are rapidly separated from the perspective of space.

Description

technical field [0001] The invention relates to the technical field of crop canopy image positioning and extraction, and more specifically relates to a crop canopy segmentation method based on depth information. Background technique [0002] At present, the use of imaging technology to obtain the spectral information of objects is an important means in the field of agricultural information research. Among them, in the intelligentization of agriculture, computer vision technology and image technology are used to realize crop growth status monitoring, pest control and yield estimation, etc. In the application, it is first necessary to segment the crop canopy area. Segmenting the target object from the background is a key step in the realization of object analysis. Only by separating the analysis object from the background well can it be accurately analyzed and judged. Whether the segmentation is correct and effective is related to the accuracy of subsequent modeling, predictio...

AI Technical Summary

Problems solved by technology

[0008] In view of this, the present invention provides a crop canopy segmentation method based on depth information, the method is aimed at the situation that crops and noise are different from the depth information of the depth image sensor, extracts the region of the target object according to the depth information, and extracts the Regional information is matched with color images or multispectral images and other flat images, and the target area can be quickly extracted from the latter image, avoiding the analysis and processing of complex backgrounds, and greatly speeding up the segmentation of crop canopies. Crop Bioinformatics Provides Extremely Important Help

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