Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
- URL: http://arxiv.org/abs/2006.00303v1
- Date: Sat, 30 May 2020 16:00:54 GMT
- Title: Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
- Authors: Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu
- Abstract summary: We propose a fast image segmentation method based on a novel super boundary-to-pixel direction (super-BPD)
In the BPD, nearby pixels from different regions have opposite directions departing from each other, and adjacent pixels in the same region have directions pointing to the other or each other.
We make use of such property to partition an image into super-BPDs, which are novel informative superpixels with robust direction similarity for fast grouping into segmentation regions.
- Score: 60.72044848490725
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Image segmentation is a fundamental vision task and a crucial step for many
applications. In this paper, we propose a fast image segmentation method based
on a novel super boundary-to-pixel direction (super-BPD) and a customized
segmentation algorithm with super-BPD. Precisely, we define BPD on each pixel
as a two-dimensional unit vector pointing from its nearest boundary to the
pixel. In the BPD, nearby pixels from different regions have opposite
directions departing from each other, and adjacent pixels in the same region
have directions pointing to the other or each other (i.e., around medial
points). We make use of such property to partition an image into super-BPDs,
which are novel informative superpixels with robust direction similarity for
fast grouping into segmentation regions. Extensive experimental results on
BSDS500 and Pascal Context demonstrate the accuracy and efficency of the
proposed super-BPD in segmenting images. In practice, the proposed super-BPD
achieves comparable or superior performance with MCG while running at ~25fps
vs. 0.07fps. Super-BPD also exhibits a noteworthy transferability to unseen
scenes. The code is publicly available at
https://github.com/JianqiangWan/Super-BPD.
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