Method for stitching fruit tree crown layer organ images

Abstract

The invention discloses a method for stitching fruit tree crown layer organ images. The method comprises the following steps that A, series intensity images of crown layer organs of fruit trees in different growing periods are shot through a PMD camera and meanwhile, series color images of the crown layer organs of the fruit trees are obtained through a color camera; B, adjacent images of the intensity images and the color images are registered respectively; C, overlapping zones of the adjacent images of the intensity images and the color images are fused; D, a stitching effect image of the intensity images and a stitching effect image of the color images are obtained respectively through stitching; E, production of the fruit trees is instructed according to the stitching effect image of the intensity images and the stitching effect image of the color images. The method is suitable for image stitching of the crown layer organs in a year growing period of the fruit trees, the robustness, the instantaneity and the stitching accuracy of the algorithm can satisfy the requirement for three-dimensional reconstruction operation of a crown layer, and the method has a great significance in the improvement in an information level of fruit ranch management such as pruning, flower thinning, production predication and picking.

Description

technical field [0001] The invention relates to the field of agricultural informatization, in particular to a method for splicing images of fruit tree canopy organs. Background technique [0002] The annual growth cycle of fruit trees refers to the whole process of life activities of fruit trees showing a certain regularity with climate change within a year. Key stages include: dormancy, flower thinning, maturity, etc. How to construct the three-dimensional shape of the canopy with color characteristics in different growth stages in the annual growth period has always been the research focus of fruit tree informatization. Its visualization research is important for improving the intelligent management of key links such as pruning, flower thinning, yield measurement, and picking. significance. [0003] At present, there are mainly three methods used to construct the three-dimensional shape of the fruit tree canopy at home and abroad: one is the stereo vision technology, whi...

AI Technical Summary

Problems solved by technology

[0004] Image stitching refers to constructing two or more groups of images that contain common areas with each other into a larger view that contains common areas. It has been widely used in computer vision, medicine, remote sensing and other fields. There are no research reports on canopy organ images

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