RGBD image segmentation using deep edge

Jan Kristanto Wibisono, Hsueh Ming Hang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the past a few decades, many schemes have been proposed for segmenting a color image into meaningful regions. However, the newly availability of depth data provides opportunities to explore and improve the image segmentation performance. In addition, the new image processing tools based on deep learning technology are aggressively developed recently. This paper proposes a method of combining color and depth data to segment an image. As an initial stage, we partition a color image into regions using the DeepEdge tool, an image edge detection scheme developed based on the CNN (Convolutional Neural Net) technique. Then, we use the RANSAC tool to identify and merge regions with similar planar geometry (based on the depth information). At the final stage, guided by the DeepEdge information, a region merging method is employed to fine-tune the merged regions based on the color and depth similarity. Comparing to our previous results, the DeepEdge method together with the depth information helps in improving the segmentation result in most cases.

Original languageEnglish
Title of host publication2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages565-569
Number of pages5
ISBN (Electronic)9781538621592
DOIs
StatePublished - 2 Jul 2017
Event25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Xiamen, China
Duration: 6 Nov 20179 Nov 2017

Publication series

Name2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
Volume2018-January

Conference

Conference25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017
CountryChina
CityXiamen
Period6/11/179/11/17

Keywords

  • DeepEdge
  • RANSAC
  • RGBD Segmentation

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