基于动态树木图像序列的实时拼接系统及其深度信息检测

doi:10.11707/j.1001-7488.20140511

Abstract

Abstract:

Techniques to detect target tree distances are needed for development of target-oriented sprayers to protect shade trees from pest and disease attacks and reduce pesticide use. A tree image acquisition and mosaicking system used a two-camera hardware platform and a 3-D geometrical algorithm was developed to process dynamic tree image sequences and to calculate the distance between the target tree and the two cameras. The geometric algorithm established the distance as a function of the camera field-of-view, angle between optical axes, distance of two points of camera focus and the overlapping coefficient of mosaicked images. Validation of the algorithm demonstrated that the image acquisition and mosaicking system accurately measure the tree distance within a 6.5 m range. The maximum error within this distance range was 0.27 m or 7.5%.The image mosaicking system would be a potential tool for future development of precision sprayers to deliver the desired amount of sprays to target trees based on the presence and distance of target trees.

Key words: precision pesticide spraying, geometrical algorithm, dynamic tree image sequence, image processing and mosaicing, distance detection

CLC Number:

S491

Zheng Jiaqiang, Jia Zhicheng, Zhou Bo, Zhou Hongping, Zhu Heping. Real-Time Mosaicing System and Distance Detection Based on Dynamic Tree Image Sequence[J]. Scientia Silvae Sinicae, 2014, 50(5): 82-89.

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Real-Time Mosaicing System and Distance Detection Based on Dynamic Tree Image Sequence

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