Effective segmentation method of target based on polarization-modulated 3D imaging system

Shengjie Wang; Bo Liu; Heping Li; Shenglin Lv

doi:10.1117/12.2557409

12 March 2020 Effective segmentation method of target based on polarization-modulated 3D imaging system

Shengjie Wang, Bo Liu, Heping Li, Shenglin Lv

Proceedings Volume 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments; 114341M (2020) https://doi.org/10.1117/12.2557409
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

To implement Real-time segmentation for polarization-modulated 3D imaging system, an efficient segmentation method for multi-dimensional information fusion is proposed in this paper. Conventional 3D imaging Lidar systems use an avalanche photodiode (APD) array detector to measure time-of-flight of each pixel in the scene. Here we propose and experimentally demonstrate a super-resolution 3D imaging framework based on a new imaging sensor EMCCD (Electron Multiplying Charge Coupled Device). Due to its low bandwidth characteristics, the electro-optic modulators are applied to implement temporal (range) resolution, and meanwhile act as a fast shutter with sub-nanosecond-level. Consequently, range-gated 3D imaging can be achieved to improve the signal-to-noise ratio (SNR) performance in our framework. With dual EMCCDs structure, the depth map and intensity image can be reconstructed from adding the two modulated images. The iterative threshold algorithm method is applied to the target segmentation of high-resolution images, and image morphological erosion algorithm are used to improve the segmentation accuracy. The target’s pixel coordinate position obtained by image segmentation is mapped to 3D point cloud data to get the segmented target point cloud data. Experimental results show that the system can achieve high-precision flash imaging. Meanwhile, the segmentation method has a great improvement in time efficiency compared with traditional clustering algorithm, and can reduce the under-segmentation error rate. Ultimately, we found that the imaging method showed outstanding performance on high-precision imaging with an error less than 0.1m in a wide field-of-view of 0.9mrad. And the segmentation of target takes only 560ms.

Citation Download Citation

Shengjie Wang, Bo Liu, Heping Li, and Shenglin Lv "Effective segmentation method of target based on polarization-modulated 3D imaging system", Proc. SPIE 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 114341M (12 March 2020); https://doi.org/10.1117/12.2557409

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
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Clouds

Electron multiplying charge coupled devices

3D acquisition

Stereoscopy

Cameras

Imaging systems

LIDAR

Show All Keywords

Keywords/Phrases

Search In:

Publication Years