SG10201802487RA - Determining surface roughness - Google Patents

Determining surface roughness

Info

Publication number
SG10201802487RA
SG10201802487RA SG10201802487RA SG10201802487RA SG10201802487RA SG 10201802487R A SG10201802487R A SG 10201802487RA SG 10201802487R A SG10201802487R A SG 10201802487RA SG 10201802487R A SG10201802487R A SG 10201802487RA SG 10201802487R A SG10201802487R A SG 10201802487RA
Authority
SG
Singapore
Prior art keywords
pixels
surface roughness
image
threshold
foreground pixels
Prior art date
Application number
SG10201802487RA
Inventor
Matham Murukeshan Vadakke
Aswin Haridas
Alexandru Crivoi
Prabhathan Patinharekandy
Original Assignee
Rolls Royce Plc
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 Rolls Royce Plc filed Critical Rolls Royce Plc
Publication of SG10201802487RA publication Critical patent/SG10201802487RA/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
    • G01B11/303—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces using photoelectric detection means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G06T7/41—Analysis of texture based on statistical description of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10048—Infrared image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30164—Workpiece; Machine component

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Quality & Reliability (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

Determining Surface Roughness A measurement system (301) for determining surface roughness is shown. A coherent illumination device (303) illuminates the surface of, for example, a component (201) with coherent light. An imaging device (304) 5 obtains an image of speckle caused by the scattering of the coherent light from the surface. A processing device (305) converts the image into a binary image according to a threshold, thereby classifying pixels below the threshold as background pixels and pixels above the threshold as foreground pixels. One or more regions of connected foreground pixels are then identified in the binary 10 image, in which any two foreground pixels in a region are joined by a continuous path of foreground pixels. The total number of regions identified and the number of pixels in the largest region are then evaluated, each of which correlate with surface roughness. An indication of the surface roughness of the surface is then outputted. 15 [Figure 3]
SG10201802487RA 2017-04-04 2018-03-26 Determining surface roughness SG10201802487RA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB1705406.5A GB201705406D0 (en) 2017-04-04 2017-04-04 Determining surface roughness

Publications (1)

Publication Number Publication Date
SG10201802487RA true SG10201802487RA (en) 2018-11-29

Family

ID=58682567

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201802487RA SG10201802487RA (en) 2017-04-04 2018-03-26 Determining surface roughness

Country Status (4)

Country Link
US (1) US20180286058A1 (en)
EP (1) EP3385906B1 (en)
GB (1) GB201705406D0 (en)
SG (1) SG10201802487RA (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11268809B2 (en) * 2018-11-07 2022-03-08 International Business Machines Corporation Detecting and correcting deficiencies in surface conditions for bonding applications
CN112588878B (en) * 2020-11-27 2022-09-27 北京星航机电装备有限公司 Local shape correcting method for aluminum alloy thin-wall special-shaped part
CN114210741B (en) * 2021-11-23 2022-08-26 北京科技大学 Strip steel surface roughness online detection device and method
CN114754706A (en) * 2022-04-11 2022-07-15 广东机电职业技术学院 Mechanical part machining surface roughness online detection method and system

Also Published As

Publication number Publication date
US20180286058A1 (en) 2018-10-04
EP3385906A1 (en) 2018-10-10
GB201705406D0 (en) 2017-05-17
EP3385906B1 (en) 2020-06-17

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