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Stacked objects segmentation based on depth image
Author(s): Mingkang Zhou; Wei Song; Linyong Shen; Yanan Zhang
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Paper Abstract

This paper presents an image segmentation method for stacked objects using Region-Scalable Fitting (RSF) and Spatial Kernel Fuzzy-C-Means (SKFCM) based on depth images. Firstly, RSF is used to detect contours of the objects’ area. Then, it can be judged whether there are stacked objects in each contour area by image histogram . For stacked objects, SKFCM algorithm is utilized for segmenting the stacked objects. Unlike the method based on RGB images, the proposed method is insensitive to background, texture and illumination due to the property of depth images that only contains depth information. Besides, the proposed method can effectively segment each object in the case of objects stacked, and determine the order of stacking which can be used for picking up by manipulator arm. The proposed method has been tested on different scenes with objects stacked. Experimental results have shown the effectiveness of the proposed method in segmenting stacked objects.

Paper Details

Date Published: 24 July 2018
PDF: 6 pages
Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 108271N (24 July 2018); doi: 10.1117/12.2501311
Show Author Affiliations
Mingkang Zhou, Shanghai Univ. (China)
Wei Song, Shanghai Univ. (China)
Linyong Shen, Shanghai Univ. (China)
Yanan Zhang, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 10827:
Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018)
Yingjie Yu; Chao Zuo; Kemao Qian, Editor(s)

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