BR0012349A - Analysis of object image data - Google Patents

Analysis of object image data

Info

Publication number
BR0012349A
BR0012349A BR0012349-8A BR0012349A BR0012349A BR 0012349 A BR0012349 A BR 0012349A BR 0012349 A BR0012349 A BR 0012349A BR 0012349 A BR0012349 A BR 0012349A
Authority
BR
Brazil
Prior art keywords
color
carcass
property
data
prognosis
Prior art date
Application number
BR0012349-8A
Other languages
Portuguese (pt)
Inventor
Kurt Malmstrom
Original Assignee
Rms Res Man Systems Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AUPQ1544A external-priority patent/AUPQ154499A0/en
Priority claimed from AUPQ2828A external-priority patent/AUPQ282899A0/en
Application filed by Rms Res Man Systems Inc filed Critical Rms Res Man Systems Inc
Publication of BR0012349A publication Critical patent/BR0012349A/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • G01N33/12—Meat; Fish

Landscapes

  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biochemistry (AREA)
  • Food Science & Technology (AREA)
  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Medicinal Chemistry (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Analysis (AREA)

Abstract

"ANáLISE DE DADOS DA IMAGEM DE OBJETOS". Trata-se de um método para analisar os dados da imagem em cores relacionados com um objeto alvo, particularmente a carcaça de um animal, para derivar ou predizer uma propriedade do objeto cuja coloração é um indicador, tal como o rendimento da carne. O método inclui a etapa de processamento dos dados em cores para derivar as medições independentes da "intensidade normalizada" ou da intensidade de iluminação dos valores das cores, seguida pela etapa de cálculo da propriedade do objeto mediante a utilização das medições de cor independentes da intensidade de iluminação em uma equação de prognóstico, sendo que as medições da cor independentes da intensidade de iluminação e as variáveis e a propriedade do objeto são calculadas a partir da solução da equação de prognóstico. A equação de prognóstico pode ser desenvolvida a partir dos dados coletados durante uma experiência de coleta de dados ao se utilizar as imagens capturadas para objetos alvo reais, e a correlação das medições de cor independentes da intensidade de iluminação obtidas desses dados com a propriedade medida real de cada um dos objetos alvo reais para derivar a equação de prognóstico por meio de técnicas de análise estatística para melhor combinar os dados. Para a análise da carcaça de carne, a propriedade prevista pode ser o "rendimento", a "conformação" ou o "teor de gordura" de uma carcaça em um sistema de classificação de carcaça padrão, ou pode ser o "grau de rendimento" ou o "grau de qualidade" da carne de uma carcaça em um sistema de classificação de carne padrão."OBJECT IMAGE DATA ANALYSIS". It is a method for analyzing color image data related to a target object, particularly an animal's carcass, to derive or predict a property of the object whose color is an indicator, such as meat yield. The method includes the step of processing the color data to derive the measurements independent of the "normalized intensity" or the intensity of illumination of the color values, followed by the step of calculating the property of the object using the color measurements independent of the intensity of illumination in a prognosis equation, and the color measurements independent of the illumination intensity and the variables and the property of the object are calculated from the solution of the prognosis equation. The prognosis equation can be developed from the data collected during a data collection experiment by using the captured images for real target objects, and the correlation of color measurements independent of the illumination intensity obtained from these data with the real measured property of each of the real target objects to derive the prognosis equation using statistical analysis techniques to better combine the data. For meat carcass analysis, the predicted property can be the "yield", "conformation" or "fat content" of a carcass in a standard carcass classification system, or it can be the "yield grade" or the "quality grade" of meat from a carcass in a standard meat classification system.

BR0012349-8A 1999-07-09 2000-07-10 Analysis of object image data BR0012349A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
AUPQ1544A AUPQ154499A0 (en) 1999-07-09 1999-07-09 Image data analysis
AUPQ2828A AUPQ282899A0 (en) 1999-09-14 1999-09-14 Image data analysis
PCT/AU2000/000830 WO2001004607A1 (en) 1999-07-09 2000-07-10 Image data analysis of objects

Publications (1)

Publication Number Publication Date
BR0012349A true BR0012349A (en) 2002-06-11

Family

ID=25646096

Family Applications (1)

Application Number Title Priority Date Filing Date
BR0012349-8A BR0012349A (en) 1999-07-09 2000-07-10 Analysis of object image data

Country Status (8)

Country Link
EP (1) EP1196761A1 (en)
AR (1) AR024689A1 (en)
BR (1) BR0012349A (en)
CA (1) CA2378741A1 (en)
MX (1) MXPA02000286A (en)
NZ (1) NZ516814A (en)
UY (1) UY26237A1 (en)
WO (1) WO2001004607A1 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003034059A1 (en) * 2001-10-18 2003-04-24 Machinery Developments Limited Apparatus and process for analyzing cuts of meat
CN100376888C (en) * 2004-11-02 2008-03-26 江苏大学 Method and device for computer vision detection and classification of beef carcase quality
WO2006086450A1 (en) 2005-02-08 2006-08-17 Cargill Incorporated Meat sortation
JP7125802B1 (en) 2021-06-15 2022-08-25 有限会社 ワーコム農業研究所 Beef quality judgment device

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NO862509L (en) * 1985-09-04 1987-03-05 Westinghouse Canada Inc DEVICE FOR MEASURING THE COLOR TONE OF A CHAIN TEST.
DK163382C (en) * 1990-02-28 1992-08-03 Slagteriernes Forskningsinst PROCEDURE FOR DETERMINING THE QUALITY CHARACTERISTICS OF INDIVIDUAL GROUPS
NZ251947A (en) * 1992-04-13 1996-11-26 Meat Research Corp Image analysis for meat inspection
DE4408604C2 (en) * 1994-03-08 1996-05-02 Horst Dipl Ing Eger Procedure for assessing carcasses

Also Published As

Publication number Publication date
MXPA02000286A (en) 2004-09-30
UY26237A1 (en) 2000-10-31
AR024689A1 (en) 2002-10-23
CA2378741A1 (en) 2001-01-18
WO2001004607A1 (en) 2001-01-18
NZ516814A (en) 2002-07-26
EP1196761A1 (en) 2002-04-17

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