SG10201802486WA - Determining surface roughness - Google Patents

Determining surface roughness

Info

Publication number
SG10201802486WA
SG10201802486WA SG10201802486WA SG10201802486WA SG10201802486WA SG 10201802486W A SG10201802486W A SG 10201802486WA SG 10201802486W A SG10201802486W A SG 10201802486WA SG 10201802486W A SG10201802486W A SG 10201802486WA SG 10201802486W A SG10201802486W A SG 10201802486WA
Authority
SG
Singapore
Prior art keywords
surface roughness
threshold
pixels
image
determining surface
Prior art date
Application number
SG10201802486WA
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 SG10201802486WA publication Critical patent/SG10201802486WA/en

Links

Classifications

    • 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
    • G06T7/48—Analysis of texture based on statistical description of texture using fractals
    • 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
    • G06T7/0002—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
    • 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. It then evaluates the fractal dimension of the binary image. The fractal dimension 10 correlates with surface roughness. An indication of the surface roughness of the surface is then outputted. [Figure 3]
SG10201802486WA 2017-04-04 2018-03-26 Determining surface roughness SG10201802486WA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB1705405.7A GB201705405D0 (en) 2017-04-04 2017-04-04 Determining surface roughness

Publications (1)

Publication Number Publication Date
SG10201802486WA true SG10201802486WA (en) 2018-11-29

Family

ID=58682700

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201802486WA SG10201802486WA (en) 2017-04-04 2018-03-26 Determining surface roughness

Country Status (4)

Country Link
US (1) US20180286059A1 (en)
EP (1) EP3385905A1 (en)
GB (1) GB201705405D0 (en)
SG (1) SG10201802486WA (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10726524B2 (en) * 2018-01-11 2020-07-28 Qualcomm Incorporated Low-resolution tile processing for real-time bokeh
WO2021045599A1 (en) * 2019-09-06 2021-03-11 주식회사 날비컴퍼니 Method for applying bokeh effect to video image and recording medium
US10830581B1 (en) 2019-11-08 2020-11-10 International Business Machines Corporation Surface smoothness analysis
CN111222511B (en) * 2020-04-13 2020-07-24 中山大学 Infrared unmanned aerial vehicle target detection method and system
CN113776469A (en) * 2021-08-10 2021-12-10 同济大学 Method and system for detecting surface roughness of powder particles

Also Published As

Publication number Publication date
EP3385905A1 (en) 2018-10-10
GB201705405D0 (en) 2017-05-17
US20180286059A1 (en) 2018-10-04

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