Algorithm research on image processing for crack identification of round wood

Xiaogang Dang; Xiaofeng Bai; Xulang Chen; Lu Han; Lei Wang; Kun Han; Shuning Yang; Wei Cheng

doi:10.1117/12.2576388

5 November 2020 Algorithm research on image processing for crack identification of round wood

Xiaogang Dang, Xiaofeng Bai, Xulang Chen, Lu Han, Lei Wang, Kun Han, Shuning Yang, Wei Cheng

Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 1156714 (2020) https://doi.org/10.1117/12.2576388
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

In the process of crack identification for round logs, conventional edge extraction cannot effectively suppress noise because of the tree's annual ring lines and the similarity between the burr noises during cutting and the gray level of the target. Therefore, it is no easy to extract the target crack. The method of continuous gray-scale transformation enhancement is put forward in this thesis to increase the difference between the gray level of the background pixel and the gray level of the target so that can obtain an ideal pre-processed image. In the process of image preprocessing, the method of continuous gray-scale transformation enhancement is applied, that is to combine the gray-scale transformation enhancement and the non-linear filtering process so that can realize the preprocessing of the original image. The gray level difference between the extraction target and the background is increasing under the premise of preserving the image-extraction features. In the extraction process, the extracted target crack image is obtained through utilizing the localization minimum in mathematical morphology and then the compound morphological algorithm is designed based on the basic algorithm of mathematic morphology so as to obtain the target crack image which is connected by the edge curves. Results The MATLAB image processing algorithm is used to simulate each step of the method. The results show that the extracted target crack images are ideal. The mentioned algorit can not only ensure the integrity of the extraction target, but also can suppress the noise very well so that can satisfy the needs during the extraction of complex background images, especially the images with little difference between the background gray level and the extraction target gray level.

Citation Download Citation

Xiaogang Dang, Xiaofeng Bai, Xulang Chen, Lu Han, Lei Wang, Kun Han, Shuning Yang, and Wei Cheng "Algorithm research on image processing for crack identification of round wood", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 1156714 (5 November 2020); https://doi.org/10.1117/12.2576388

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image processing

Image enhancement

Image filtering

Detection and tracking algorithms

Electronic filtering

Digital filtering

Nonlinear filtering

Show All Keywords

Keywords/Phrases

Search In:

Publication Years