Mr. Jun Fang Profile

Jun Fang

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 | 20 October 2023 Paper

Research on tree barrier measurement method based on monocular image depth estimation

Xiaofei Mu, Hongxi Liu, Jun Fang

Proceedings Volume 12916, 1291605 (2023) https://doi.org/10.1117/12.3004894

KEYWORDS: Cameras, Image analysis, Distance measurement, Ranging, Detection and tracking algorithms, Visualization, Data transmission, Camera calibration, Binocular vision, LIDAR

Read Abstract +

Tree barrier plays a vital role in transmission lines, and its existence directly affects the stable supply of electricity. Therefore, it is necessary to measure and inspect the tree barrier. For this purpose, this paper proposes a measurement method based on monocular image depth estimation. In this method, the LSD (Line Segment Detector) algorithm is used to detect the straight line, and the RANSAC (RANdom SAmple Consensus) algorithm is used to iteratively detect the vanishing point, and the vanishing point coordinates are successfully obtained. The camera calibration is carried out to determine the pixel coordinates of the object in the image and to obtain the internal and external parameters and rotation matrix of the camera. Through coordinate system transformation, the depth estimation of the target in the world coordinate system and the distance between any tree lines can be accurately calculated. Finally, the height of the camera is used as the reference height to complete the measurement of the tree barrier around the wire, and the experimental results show that the method has certain feasibility and the error is controlled within a reasonable range.

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