Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms

Neubert, Peer; Protzel, Peter

doi:10.1109/icpr.2014.181

Cited by 153 publications

(102 citation statements)

References 13 publications

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“…The approach of [36] is relatively fast with complexity of O(N log N ), but does not offer control over the amount of superpixels or their compactness. Compact watershed [42] is a modified implementation that considers the compactness constrains of superpixels and can control the superpixel number directly. In our evaluation, we use the implementation of compact watershed.…”

Section: Clustering Based Methodsmentioning

confidence: 99%

Superpixel segmentation: A benchmark

Wang

Liu

Gao

et al. 2017

Signal Processing: Image Communication

129

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Section: Clustering Based Methodsmentioning

confidence: 99%

Superpixel segmentation: A benchmark

Wang

Liu

Gao

et al. 2017

Signal Processing: Image Communication

129

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“…We perform superpixel segmentation on the F th frame by using Preemptive SLIC [23] , a real-time version of the popular simple linear iterative clustering(SLIC) [24] .…”

Section: B Superpixels Generationmentioning

confidence: 99%

Flying spacecraft detection with the earth as the background based on superpixels clustering

Xiaozhou

Song

Chen

et al. 2015

2015 IEEE International Conference on Information and Automation

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On orbit flying spacecraft detection in near range is of great significance to space based surveillance and the final stage of rendezvous & docking. In this paper, we propose an effective flying spacecraft detection algorithm with the earth as the cluttered dynamic background based on superpixels clustering. Labeled point trajectories are used as the motion cue, and both color and texture features are extracted from generated superpixels for clustering. Experimental results show that our proposed method performs well on real world videos recorded by cameras onboard the International Space Station.

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“…The selected markers are local minima of the gradient image in a square 2n m + 1 × 2n m + 1 neighbourhood centred on the pixel where n m is a certain constant. The compact watershed and SLIC algorithms (Neubert and Protzel, 2014) were also tested but found inferior due to worse adherence to the real boundaries in the images.…”

Section: Methodsmentioning

confidence: 99%

“…Our approach is inspired by modern achievements in the field of superpixel algorithms (Neubert and Protzel, 2014) as well as results in mathematical morphology (Beucher and Meyer, 1993). Good overviews of the watershed segmentation used in this paper are given in (Meyer, 2001;2005), with various strategies for marker placement discussed in (Beucher, 1990;Meyer and Beucher, 1990).…”

Section: Introductionmentioning

confidence: 99%

Principal Geodesic Analysis Boundary Delineation With Superpixel-Based Constraints

Baran

Tabor

2017

Image Anal Stereol

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In this paper an algorithm for accurate delineation of object boundaries is proposed. The method employs a superpixel algorithm to obtain an oversegmentation of the input image, used as a constraint in the task. A shape model is built by applying Principal Geodesic Analysis on angular representation of automatically placed uniformly distant landmark points. The shape model is used to detect the boundaries of an object on a given image by iterative elongation of a partial boundary along borders of superpixels. Contrary to many stateof-the-art methods, the proposed approach does not need an initial boundary. The algorithm was tested on two natural and two synthetic sets of images. Mean Dice coefficients between 0.91 and 0.97 were obtained. In almost all cases the object was found. In areas of relatively high gradient magnitude the borders are delineated very accurately, though further research is needed to improve the accuracy in areas of low gradient magnitude and automatically select the parameters of the proposed error function.

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Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms

Cited by 153 publications

References 13 publications

Superpixel segmentation: A benchmark

Superpixel segmentation: A benchmark

Flying spacecraft detection with the earth as the background based on superpixels clustering

Principal Geodesic Analysis Boundary Delineation With Superpixel-Based Constraints

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