KR980002354A - Method for Evaluating Washing Performance by Automatic Detection of Artificial Pollutants in Artificial Pollutant Image Analysis System - Google Patents

Method for Evaluating Washing Performance by Automatic Detection of Artificial Pollutants in Artificial Pollutant Image Analysis System Download PDF

Info

Publication number
KR980002354A
KR980002354A KR1019960021049A KR19960021049A KR980002354A KR 980002354 A KR980002354 A KR 980002354A KR 1019960021049 A KR1019960021049 A KR 1019960021049A KR 19960021049 A KR19960021049 A KR 19960021049A KR 980002354 A KR980002354 A KR 980002354A
Authority
KR
South Korea
Prior art keywords
artificial
washing
cloth
picture file
color value
Prior art date
Application number
KR1019960021049A
Other languages
Korean (ko)
Other versions
KR100187270B1 (en
Inventor
남언주
Original Assignee
김광호
삼성전자 주식회사
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
Application filed by 김광호, 삼성전자 주식회사 filed Critical 김광호
Priority to KR1019960021049A priority Critical patent/KR100187270B1/en
Priority to CN97112707A priority patent/CN1173564A/en
Priority to JP9155539A priority patent/JPH10104077A/en
Publication of KR980002354A publication Critical patent/KR980002354A/en
Application granted granted Critical
Publication of KR100187270B1 publication Critical patent/KR100187270B1/en

Links

Classifications

    • 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
    • G01N33/36—Textiles

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Food Science & Technology (AREA)
  • Textile Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Spectrometry And Color Measurement (AREA)

Abstract

본 발명은, 평가에 사용되는 인공오염포의 매수가 자동인식되어 색상값이 분석될 수 있도록 된 인공오염포화상분석 시스템에서의 인공오염포 자동인식에 의한 세탁성능 평가방법에 관한 것으로, 세탁전에 인공오염포를 스캐너에 의해 스캐닝하여 그림 파일로 저장하는 제1단계(S1)와; 실험조건에 의해 세탁실험을 수행하는 제2단계(S2); 세탁후 인공오염포의 후처리를 수행하는 제3단계(S3); 세탁후의 인공오염포를 스캐너에 의해 스캐닝하여 다른 그림 파일로 저장하는 제4단계(S4), 세탁 후의 인공오염포의 그림 파일을 컴퓨터의 모니터상에 출력하여 각각의 R·G·B 평균값을 구하는 제5단계(S5) 및; 세탁 후의 R·G·B 평균값차이로부터의 색상값,The present invention relates to a method of evaluating washing performance by automatic recognition of artificial fouling cloths in an artificial fouling imaging system in which the number of artificial fouling cloths used for evaluation is automatically recognized so that color values can be analyzed. A first step (S1) of scanning the artificial contaminant cloth and storing it as a picture file; A second step (S2) of performing washing experiments under experimental conditions; A third step (S3) of performing post-treatment of the artificial stain cloth after washing; The fourth step (S4) of scanning the artificial contaminated cloth after washing and storing it as another picture file, and outputting the image file of the artificial contaminated cloth after washing on the monitor of the computer to calculate the respective R, G, and B average values. A fifth step (S5) and; Color value from the difference of R, G, B mean value after washing,

을 구하는 제6단계(S6)로 이루어진 인공오염포 화상분석 시스템에서의 세탁성능 평가방법에 있어서, 상기 제5단계(S5)는 그림 파일이 입력되는 제5-1단계(S5-1)와, 상기 그림 파일에 대해 실행설정을 수행하는 제5-2단계(S5-2), 이제 제5-2단계(S5-2) 로부터의 실행설정된 그림 파일을 기초로 R·G·B값을 산출하는 제5-3단계(S5-3) 및, 그림 파일의 전체 색상값을 저장하는 제5-4단계(S5-4)로 이루어진 것을 특징으로 한다.In the sixth step (S6) to obtain a washing performance evaluation method in the artificial fouling image analysis system, the fifth step (S5) is a 5-1 step (S5-1) and a picture file is input, Step 5-2 (S5-2) of performing the execution setting on the picture file, and now calculates the R, G, B value based on the execution-set picture file from step 5-2 (S5-2). Step 5-3 (S5-3), and step 5-4 (S5-4) for storing the entire color value of the picture file.

Description

인공오염포 화상분석 시스템에서의 인공오염포 자동인식에 의한 세탁성능 평가방법Method for Evaluating Washing Performance by Automatic Detection of Artificial Pollutants in Artificial Pollutant Image Analysis System

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음Since this is an open matter, no full text was included.

제2도는 본 발명에 따른 인공오염포 화상분석 시스템에서의 인공오염포 자동인식에 의한 세탁성능 평가장치를 나타낸 도면.2 is a view showing the laundry performance evaluation apparatus by automatic recognition of the artificial bladder in the artificial bladder image analysis system according to the present invention.

제3도는 본 발명에 따른 인공오염포 화상분석 시스템에서의 인공오염포 자동인식에 의한 세탁성능 평가방법에 이용되는 오염포 자동인식 기준 창을 나타낸 도면.3 is a view showing an automatic staining reference window used in the method for evaluating washing performance by automatic staining in artificial staining image analysis system according to the present invention.

제4도는 본 발명에 따른 인공오염포 화상분석 시스템에서의 인공오염포 자동인식에 의한 세탁성능 평가방법의 동작흐름을 도시한 동작흐름도.Figure 4 is a flow chart showing the operation flow of the laundry performance evaluation method by the artificial bladder automatic recognition in the artificial bladder image analysis system according to the present invention.

제5도는 제4도에 나타낸 제5단계의 색상분석 동작흐름을 도시한 동작흐름도.FIG. 5 is a flowchart showing the color analysis operation flow of the fifth step shown in FIG.

제6도는 제5도에 나타낸 제5-2-2단계의 오염포인식실행의 동작흐름을 도시한 동작흐름도이다.FIG. 6 is an operational flow diagram showing the operational flow of the pollutant recognition execution in the step 5-2-2 shown in FIG.

Claims (3)

세탁전에 인공오염포를 스캐너에 의해 스캐닝하여 그림 파일로 저장하는 제1단계(S1)와; 실험조건에 의해 세탁실험을 수행하는 제2단계(S2); 세탁후 인공오염포의 후처리를 수행하는 제3단계(S3); 세탁후의 인공오염포를 스캐너에 의해 스캐닝하여 다른 그림 파일로 저장하는 제4단계(S4), 세탁 후의 인공오염포의 그림 파일을 컴퓨터의 모니터상에 출력하여 각각의 R·G·B 평균값을 구하는 제5단계(S5) 및; 세탁 후의 R·G·B 평균값차이로부터의 색상값,A first step (S1) of scanning the contaminated cloth before washing with a scanner and storing it as a picture file before washing; A second step (S2) of performing washing experiments under experimental conditions; A third step (S3) of performing post-treatment of the artificial stain cloth after washing; The fourth step (S4) of scanning the artificial contaminated cloth after washing and storing it as another picture file, and outputting the image file of the artificial contaminated cloth after washing on the monitor of the computer to calculate the respective R, G, and B average values. A fifth step (S5) and; Color value from the difference of R, G, B mean value after washing, 을 구하는 제6단계(S6)로 이루어진 인공오염포 화상분석 시스템에서의 세탁성능 평가방법에 있어서, 상기 제5단계(S5)는 그림 파일이 입력되는 제5-1단계(S5-1)와, 상기 그림 파일에 대해 실행설정을 수행하는 제5-2단계(S5-2), 이제 제5-2단계(S5-2) 로부터의 실행설정된 그림 파일을 기초로 R·G·B값을 산출하는 제5-3단계(S5-3) 및, 그림 파일의 전체 색상값 저장하는 제5-4단계(S5-4)로 이루어진 것을 특징으로 하는 인공오염포 화상분석 시스템에서의 측정값 보정에 의한 세탁성능 평가방법.In the sixth step (S6) to obtain a washing performance evaluation method in the artificial fouling image analysis system, the fifth step (S5) is a 5-1 step (S5-1) and a picture file is input, Step 5-2 (S5-2) of performing the execution setting on the picture file, and now calculates the R, G, B value based on the execution-set picture file from step 5-2 (S5-2). Washing by correction of measured value in artificial fouling image analysis system, characterized in that step 5-3 (S5-3) and step 5-4 (S5-4) for storing the entire color value of the picture file Performance evaluation method. 제1항에 있어서, 상기 제5-2단계(S5-2)는 상기 그림 파일의 영역을 일정 크기로 자동 지정하는 제5-2-1단계(S5-2-1)와, 상기 오염포 매수 인식법의 선택이 자동인식 또한 수동입력으로 수행되는 제5-2-2단계(S5-2-2), 픽셀의 선택이 랜덤선택 또는 일정 픽셀마다 선택되는 제5-2-3단계(S5-2-3) 및, 출력값이 오염포 각 장의 R·G·B 평균값 또는 전체 오염포의 R·G·B 평균값으로 출력되는 제5-2-4단계(S5-2-4)로 이루어진 것을 특징으로 하는 인공오염포 화상분석 시스템에서의 인공오염포 자동인식에 의한 세탁성능 평가방법.The method of claim 1, wherein the step 5-2 (S5-2) comprises: step 5-2-1 (S5-2-1) for automatically designating an area of the picture file to a predetermined size; Step 5-2-2 (S5-2-2) in which the selection of the recognition method is performed by automatic recognition or manual input, and step 5-2-3 in which the selection of the pixel is selected at random or every predetermined pixel (S5-). 2-3), and the fifth to fourth step (S5-2-4) in which the output value is output as the R, G, B average value of each contaminated cloth, or the R, G, B average value of all the contaminated cloths. Method for evaluating washing performance by automatic recognition of artificial fouling cloth in artificial staining cloth image analysis system. 제2항에 있어서, 상기 제5-2-2단계(S5-2-2)는 상기 오염포 매수 인식이 자동인식인가의 여부를 판단하는 제5-2-2-1 단계(S5-2-2-1)와, 이 제5-2-2-1단계(S5-2-2-1)에서의 판단 결과 자동인식인 경우 각 오염포로부터 램덤 픽셀 선택을 수행하는 제5-2-2-2단계(S5-2-2-2-), 상기 오염포 색상값이 기준 창 색상값 보다 작은가의 여부를 비교하는 제5-2-2-3단계(S5-2-2-3), 상기 오염포 색상값이 기준 창 색상값보다 작은 경우 오염포 있음을 출력하는 제5-2-2-4단계(S5-2-2-4), 상기 오염포 색상값이 기준 창 색상값보다 작지 않은 경우 오염포 없음을 출력하는 제5-2-2-5단계(S5-2-2-5), 이 제5-2-2-5단계(S5-2-2-5) 후 오염포 매수를 인식하는 제5-2-2-6단계(S5-2-2-6), 이 제 제5-2-2-6단계(S5-2-2-6)로 부터의 오염포 색상값을 저장하는 제5-2-2-7단계(S5-2-2-7), 상기 제5-2-2-1단계(S5-2-2-1)에서의 판단 결과 자동인식이 아닌 경우 오염포 매수를 입력하는 제5-2-2-9단계(S5-2-2-9), 이 제 5-2-2-9단계(S5-2-2-9)로부터의 오염포 매수를 인식하여 제5-2-2-7단계(S5-2-2-7)에서 오염포 색상값을 저장하는 제제5-2-2-9단계(S5-2-2-9)로 이루어진 것을 특징으로 하는 인공오염포 화상분석 시스템에서의 인공오염포 자동인식에 의 한 세탁성능 평가방법.The method of claim 2, wherein the step 5-2-2 (S5-2-2) is a step 5-2-2-1 (S5-2-) in which it is determined whether the recognition of the number of polluted cloths is automatic. 2-1) and 5-2-2- performing random pixel selection from each contaminant in case of automatic recognition as a result of the determination in step 5-2-2-1 (S5-2-2-1). Step 2 (S5-2-2-2-), step 5-2-2-3 (S5-2-2-3) for comparing whether or not the stain cloth color value is smaller than the reference window color value; Step 5-2-2-4 (S5-2-2-4) for outputting that there is a stain cloth when the stain cloth color value is smaller than the reference window color value, and the stain cloth color value is not smaller than the reference window color value. If the 5-2-2-5 step (S5-2-2-5) outputs no contaminated cloth, after the 5-2-2-5 step (S5-2-2-5) Recognize step 5-2-2-6 (S5-2-2-6), and store the stain color value from step 5-2-2-6 (S5-2-2-6) The determination result in step 5-2-2-7 (S5-2-2-7) and step 5-2-2-1 (S5-2-2-1) are automatically If not, step 5-2-2-9 (S5-2-2-9) for inputting the number of contaminated cloths, and contamination from step 5-2-2-9 (S5-2-2-9) Recognize the number of shots and proceed to step 5-2-2-9 (S5-2-2-9) to store the contaminated cloth color values in step 5-2-2-7 (S5-2-2-7). Method for evaluating washing performance by automatic recognition of artificial bladder in an artificial bladder image analysis system, comprising: ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.※ Note: The disclosure is based on the initial application.
KR1019960021049A 1996-06-12 1996-06-12 Evaluation method of cleaning performance KR100187270B1 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
KR1019960021049A KR100187270B1 (en) 1996-06-12 1996-06-12 Evaluation method of cleaning performance
CN97112707A CN1173564A (en) 1996-06-12 1997-06-11 Washing performance evaluation method of artificially contaminated cloth in image analysis system
JP9155539A JPH10104077A (en) 1996-06-12 1997-06-12 Method for evaluating washing property by artificially fouled cloth in image analyzing system, and image analyzing system therefor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1019960021049A KR100187270B1 (en) 1996-06-12 1996-06-12 Evaluation method of cleaning performance

Publications (2)

Publication Number Publication Date
KR980002354A true KR980002354A (en) 1998-03-30
KR100187270B1 KR100187270B1 (en) 1999-05-15

Family

ID=19461619

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1019960021049A KR100187270B1 (en) 1996-06-12 1996-06-12 Evaluation method of cleaning performance

Country Status (1)

Country Link
KR (1) KR100187270B1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9412038B1 (en) * 2015-02-03 2016-08-09 The Dial Corporation Determining a color value of an article of fabric

Also Published As

Publication number Publication date
KR100187270B1 (en) 1999-05-15

Similar Documents

Publication Publication Date Title
KR960006477A (en) Error diffusion method binarization method and device
KR950006428A (en) Pattern defect inspection method and apparatus
KR950024535A (en) Color correction method and device
KR920005020A (en) Improved segmentation process for mechanical reading of handbook information
KR960008624A (en) Automatic Identification of Defect Locations in Digital Images
KR970072968A (en) Noise reduction method and its circuit
KR910017328A (en) Position Recognition Device
KR920013183A (en) Inspection method of liquid crystal panel
US20080180749A1 (en) Image processing system and method
CN101682767A (en) Systems and methods for measuring loss of detail in a video codec block
KR100879993B1 (en) Image Edge Enhancement Apparatus and Method Thereof
KR980002354A (en) Method for Evaluating Washing Performance by Automatic Detection of Artificial Pollutants in Artificial Pollutant Image Analysis System
KR950005034A (en) Shape Detection Method
KR920008519A (en) Inspection method of liquid crystal panel
JPH06130513A (en) Method for identifying film form
KR20180061528A (en) System and method for detecting foreign substance using lab color space
KR950003848A (en) In-focus position detection method
KR980002353A (en) Method for Evaluating Washing Performance by Correction of Measured Value in Artificial Pollutant Image Analysis System
KR19990062036A (en) Edge Detection Method Using Differential Operators
EP0816825A2 (en) Method and apparatus for inspecting streak
KR940006054A (en) Defect Detection Method
KR940008526A (en) Extraction method of density variation structure pixel in image and determination method of density variation lump
KR970073975A (en) Toner detection method using photo sensor
Liu et al. Detecting Edges using Linear Spatial Filtering
KR20070070771A (en) Apparatus and method for setting up threshold used for noise removal

Legal Events

Date Code Title Description
A201 Request for examination
E701 Decision to grant or registration of patent right
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20071129

Year of fee payment: 10

LAPS Lapse due to unpaid annual fee