Mr. Qingfeng Yin Profile

Qingfeng Yin

at Institute of Machinery Manufacturing Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 6 January 2020 Paper

Detection and analysis of surface defects on polished KDP crystal

Lichao Guan, Tiancai Lei, Qingfeng Yin, Hailong Cui, Jiexiong Ding

Proceedings Volume 11383, 1138308 (2020) https://doi.org/10.1117/12.2523846

KEYWORDS: Surface finishing, Polishing, Image segmentation, Image processing, Crystals, Defect detection, Magnetorheological finishing, Single point diamond turning, Liquids, Optical microscopes

Read Abstract +

KDP (Potassium Dihydrogen Phosphate) crystal is widely used in inertia control fusion and other high-tech fields as a high quality non-linear optical material. Result of the surface quality correlating with the crystal optical properties, detecting surface defects on polished device is an essential part. In this paper, optical microscopy and image processing technology are used in the KDP crystal surface defects detection after MRF and surface cleaning. Firstly, the surface image is acquired by optical microscopy. Uneven illumination exists in the surface image, so the background extraction technology is presented to eliminate the impact of uneven illumination on the defect extraction. 2D maximum entropy threshold segmentation is applied to extract the defects. To identify residues and scratches defects, the features are utilized including the irregularity of residual defect edge, the linearity of scratch defect edge and the residue defect attached to the scratch defect shows the discontinuities and the curvature on straight edge. According to the features, canny operator is used to extract defects edge and improved straight recognition algorithm by freeman chain code is used to detect completed information of residues and scratches. Finally, the scratch defects are counted with width and length and using area to get a statistical result of the residue defects. Experimental results show that the method can accurately detect KDP crystal surface defects in different states after polishing and cleaning.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years