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IMAGE DATA PROCESSING DEVICE, PLANT CULTIVATION SYSTEM, AND IMAGE DATA PROCESSING METHOD NEW 新技術説明会

外国特許コード F190009926
整理番号 S2017-0812-C0
掲載日 2019年10月24日
出願国 世界知的所有権機関(WIPO)
国際出願番号 2018JP023131
国際公開番号 WO 2018235777
国際出願日 平成30年6月18日(2018.6.18)
国際公開日 平成30年12月27日(2018.12.27)
優先権データ
  • 特願2017-120665 (2017.6.20) JP
発明の名称 (英語) IMAGE DATA PROCESSING DEVICE, PLANT CULTIVATION SYSTEM, AND IMAGE DATA PROCESSING METHOD NEW 新技術説明会
発明の概要(英語) A data processing device 1 comprising: an image acquisition unit for continuously obtaining input two-dimensional images pertaining to the external appearance of a subject S at intervals ΔT; a first image processing unit 16a for continuously generating a motion image, which is a two-dimensional image representing a pixel-by-pixel motion distribution, by calculating the direction and magnitude of motion for each pixel for two input two-dimensional images obtained at time intervals of n×ΔT (where n is an integer) among input two-dimensional images; a second image processing unit 16b for continuously generating a feature image, which is a two-dimensional image, by calculating feature values reflecting multiple pixel values for each pixel at the same two-dimensional position for multiple consecutive motion images; and an input data generation unit 16c for generating input data for use in machine learning for calculating a feature amount related to the motion of the subject S on the basis of the consecutive feature images.
従来技術、競合技術の概要(英語) BACKGROUND ART
In recent years, plant, animal, building of an object such as the acquired image data, based on the image data of the object using a machine learning mechanism is related to the motion evaluation values has been studied. For example, in the following non-patent document 1, the grass plants of a plant using the image shape of a method for estimating the degree of wilting have been described. In this method, the time of appearance of the image in the grass is calculated between the 2 optical flow image, a histogram of optical flow as an explanatory variable to the numerical sequence using the machine learning estimate the wilting.
  • 出願人(英語)
  • ※2012年7月以前掲載分については米国以外のすべての指定国
  • NATIONAL UNIVERSITY CORPORATION SHIZUOKA UNIVERSITY
  • 発明者(英語)
  • MINENO Hiroshi
  • KANEDA Yukimasa
  • SHIBATA Shun
  • WAKAMORI Kazumasa
国際特許分類(IPC)
指定国 National States: AE AG AL AM AO AT AU AZ BA BB BG BH BN BR BW BY BZ CA CH CL CN CO CR CU CZ DE DJ DK DM DO DZ EC EE EG ES FI GB GD GE GH GM GT HN HR HU ID IL IN IR IS JO JP KE KG KH KN KP KR KW KZ LA LC LK LR LS LU LY MA MD ME MG MK MN MW MX MY MZ NA NG NI NO NZ OM PA PE PG PH PL PT QA RO RS RU RW SA SC SD SE SG SK SL SM ST SV SY TH TJ TM TN TR TT TZ UA UG US UZ VC VN ZA ZM ZW
ARIPO: BW GH GM KE LR LS MW MZ NA RW SD SL SZ TZ UG ZM ZW
EAPO: AM AZ BY KG KZ RU TJ TM
EPO: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
OAPI: BF BJ CF CG CI CM GA GN GQ GW KM ML MR NE SN ST TD TG
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