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Fuzzy Superpixels for Polarimetric SAR Images Classification [PDF]
IEEE Transactions on Fuzzy Systems, 2018 Superpixels technique has drawn much attention in computer vision applications. Each superpixels algorithm has its own advantages. Selecting a more appropriate superpixels algorithm for a specific application can improve the performance of the application.
Shichuan Chen, Fang Liu, Yuwei Guo
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SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
Pascal Vitali Fua, Appu Shaji
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Dynamic Spectral Residual Superpixels [PDF]
Pattern Recognition, 2021 We consider the problem of segmenting an image into superpixels in the context of $k$-means clustering, in which we wish to decompose an image into local, homogeneous regions corresponding to the underlying objects. Our novel approach builds upon the widely used Simple Linear Iterative Clustering (SLIC), and incorporate a measure of objects' structure ...
Xiaosheng Zhuang +2 more
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2011 International Conference on Computer Vision, 2011
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
Shu Wang +3 more
openaire +1 more source
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
Shu Wang +3 more
openaire +1 more source
Superpixels: An Evaluation of the State-of-the-Art [PDF]
Computer Vision and Image Understanding, 2018 Superpixels group perceptually similar pixels to create visually meaningful entities while heavily reducing the number of primitives for subsequent processing steps. As of these properties, superpixel algorithms have received much attention since their naming in 2003. By today, publicly available superpixel algorithms have turned into standard tools in
Bastian Leibe
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2015 IEEE International Conference on Image Processing (ICIP), 2015
As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu +2 more
openaire +2 more sources
As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu +2 more
openaire +2 more sources
SEEDS: Superpixels Extracted via Energy-Driven Sampling
International Journal of Computer Vision, 2015 © 2014, Springer Science+Business Media New York. Superpixel algorithms aim to over-segment the image by grouping pixels that belong to the same object.
Luc Van Gool, Michael Van Den Bergh
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Signal, Image and Video Processing, 2013
Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu 0001 +2 more
openaire +1 more source
Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu 0001 +2 more
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Superpixel Convolution for Segmentation
2018 25th IEEE International Conference on Image Processing (ICIP), 2018In this paper, we propose a novel segmentation algorithm based on convolutional neural networks (CNNs) on superpix-else CNNs are powerful methods for several computer vision tasks, but spatial information disappears through the pooling process.
Teppei Suzuki +3 more
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Superpixel Endmember Detection
IEEE Transactions on Geoscience and Remote Sensing, 2010Superpixels are homogeneous image regions comprised of multiple contiguous pixels. Superpixel representations can reduce noise in hyperspectral images by exploiting the spatial contiguity of scene features. This paper combines superpixels with endmember extraction to produce concise mineralogical summaries that assist in browsing large image catalogs ...
David R. Thompson 0001 +3 more
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