会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Crown identification device, identification method, program, and recording medium
    • US11594020B2
    • 2023-02-28
    • US17040395
    • 2018-10-05
    • NEC Solution Innovators, Ltd.THE UNIVERSITY OF TOKYO
    • Kazuki SekiyaHiroaki OchiaiYurika NagoshiWei GuoYue MuMasayuki HirafujiSeishi NinomiyaDaisuke Takata
    • G06V20/13G06T7/62A01G7/00A01G17/00G01N21/17
    • The present invention provides a system for identifying individual crowns of individual fruit trees using aerial images. A crown identification device 40 of the present invention includes an identification criterion determination unit 41 and a crown identification unit 42. The identification criterion determination unit 41 includes a first image acquisition section 411 that acquires a first aerial image including a plurality of individual fruit trees in a deciduous period in a fruit farm field, a skeleton extraction section 412 that processes the first aerial image to extract a whole crown skeleton including the plurality of individual fruit trees, a vertex extraction unit 413 that extracts vertexes of each crown skeleton corresponding to each individual fruit tree, and an identification criterion extraction section 414 that extracts a crown candidate region of a minimum polygonal shape including all the vertexes as an identification criterion for each individual fruit tree and extracts a centroid of the crown candidate region. The crown identification unit 42 includes a second image acquisition section 421 that acquires a second aerial image of the fruit tree farm field at the time of identifying a crown at the same scale as the first aerial image, a whole crown extraction section 422 that processes the second aerial image to extract a whole crown image including the plurality of individual fruit trees, and a crown identification section 423 that collates the crown candidate region and the centroid of the identification criterion with the whole crown image to identify a crown region of each individual fruit tree in the second aerial image.