Ms. Jiahui Cong Profile

Jiahui Cong

at Nanyang Technological Univ

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 | 15 April 2010 Paper

The segmentation of texture surface under varying illuminant direction

Jia-hui Cong, Yun-hui Yan

Proceedings Volume 7522, 75224F (2010) https://doi.org/10.1117/12.851659

KEYWORDS: Image segmentation, Inspection, Reflectivity, Optical inspection, Reflection, Image processing, Cameras, Light sources and illumination, Image fusion, Ions

Read Abstract +

When automatically inspecting textured surface defects, the most important step is to segment the defects from the background. Segmentation plays a crucial role in automated visual inspection. In this study, we present a method for segmentation of rough surface based on using texture feature derived from different illumination direction. Extract a set of feature images that described the characteristics of the textures. Variation in illumination direction effects image physical texture and then effects on texture segmentation. Previous studies have demonstrated that the surface topography as a cue for image segmentation. For complicated textures, however, two rough surfaces with different reflectance function, but similar topography must be distinguished. The images are often noisy and poor contrast. Compared with intensity, texture is more of a global property. A method is presented that to obtain images with maximal contrast by fusing a series of images which were acquired under different illumination directions. Using illumination series of images contain significantly more information about the surface characteristics than single images. The experiment result shows this is a robust and reproducible way to obtain high-contrast images containing the relevant information for subsequent processing steps.

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