JPS5678136A - Pattern position detecting method - Google Patents

Pattern position detecting method

Info

Publication number
JPS5678136A
JPS5678136A JP15436179A JP15436179A JPS5678136A JP S5678136 A JPS5678136 A JP S5678136A JP 15436179 A JP15436179 A JP 15436179A JP 15436179 A JP15436179 A JP 15436179A JP S5678136 A JPS5678136 A JP S5678136A
Authority
JP
Japan
Prior art keywords
discordant
visual field
detected
positions
divided
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
JP15436179A
Other languages
Japanese (ja)
Other versions
JPS6213715B2 (en
Inventor
Toshimitsu Hamada
Kazuo Yamaguchi
Shigeru Nemoto
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Original Assignee
Hitachi Ltd
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 Hitachi Ltd filed Critical Hitachi Ltd
Priority to JP15436179A priority Critical patent/JPS5678136A/en
Publication of JPS5678136A publication Critical patent/JPS5678136A/en
Publication of JPS6213715B2 publication Critical patent/JPS6213715B2/ja
Granted legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06V10/7515—Shifting the patterns to accommodate for positional errors

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Control Of Position Or Direction (AREA)
  • Image Input (AREA)
  • Wire Bonding (AREA)

Abstract

PURPOSE:To shorten the recognition time of a specific pattern position by a method wherein the positions of an objective substance are detected from an image signal at a plurality places and the specific part of the pattern is quickly moved within the image pick-up visual field. CONSTITUTION:Lexicographic patterns A and B are provided and the visual field is divided into six parts. The discordant number of times of two-dimensional face region memory of binary video signal and the A and B are added. On the other hand, the memorized coordinates of each region is compared with the existing positions and the minimum value of the discordant number in the regions is selected. Then the minimum value of the selected discordant number is compared with the added dicordant number, and the position having the smallest discordant number at each divided section is found. Thus, when the A alone is detected (marked ) in the divided regions, the visual field is shifted downward, and even when both the A and B are detected, their positions are corrected, if they are discordant. By combining these conditions of the visual field, the shifting of the visual field is completed by one motion ad the pattern recognition time can be shortened.
JP15436179A 1979-11-30 1979-11-30 Pattern position detecting method Granted JPS5678136A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP15436179A JPS5678136A (en) 1979-11-30 1979-11-30 Pattern position detecting method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP15436179A JPS5678136A (en) 1979-11-30 1979-11-30 Pattern position detecting method

Publications (2)

Publication Number Publication Date
JPS5678136A true JPS5678136A (en) 1981-06-26
JPS6213715B2 JPS6213715B2 (en) 1987-03-28

Family

ID=15582468

Family Applications (1)

Application Number Title Priority Date Filing Date
JP15436179A Granted JPS5678136A (en) 1979-11-30 1979-11-30 Pattern position detecting method

Country Status (1)

Country Link
JP (1) JPS5678136A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5994111A (en) * 1982-11-19 1984-05-30 Fanuc Ltd Method for discriminating area of current position of machine

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5994111A (en) * 1982-11-19 1984-05-30 Fanuc Ltd Method for discriminating area of current position of machine

Also Published As

Publication number Publication date
JPS6213715B2 (en) 1987-03-28

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