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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08391-6
Abstract: This paper addresses the problem of image segmentation by iterative region aggregations starting from an initial superpixel decomposition. Classical approaches for this task compute superpixel similarity using distance measures between superpixel descriptor vectors. This usually…
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Keywords:
similarity;
superpixel;
superpixel similarity;
image segmentation ... See more keywords
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Published in 2019 at "Cognitive Computation"
DOI: 10.1007/s12559-019-09662-y
Abstract: Visual object tracking is to locate an object of interest in a sequence of consecutive video frames, which is widely applied in many high-level computer vision tasks such as intelligent video surveillance and robotics. It…
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Keywords:
superpixel;
visual tracking;
model;
graph model ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933645
Abstract: Face sketch synthesis from an input photo has drawn great attention in law enforcement and digital entertainment applications. Currently, the input photo is simply divided into overlapped rectangular patches and transformed to a sketch through…
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Keywords:
sketch synthesis;
sketch;
superpixel;
face sketch ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984720
Abstract: Superpixel is an essential tool for computer vision. In practice, classic superpixel algorithms do not exhibit good boundary adherence with fewer superpixels, which will greatly hamper further analysis. To remedy the defect, a superpixel boundary…
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Keywords:
measure function;
superpixel;
boundary optimization;
superpixel boundary ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3479703
Abstract: In this article, we consider the issue of change detection (CD) for heterogeneous remote sensing images. Existing deep learning-based methods for CD usually utilize square convolution receptive fields, which do not sufficiently exploit the contextual…
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Keywords:
change detection;
heterogeneous remote;
remote sensing;
superpixel ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3054793
Abstract: This letter proposes a novel active learning (AL) framework that utilizes the information derived from multiscale superpixel maps for the classification of hyperspectral image. Considering that the nearby pixels with similar spectral properties tend to…
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Keywords:
active learning;
multiscale superpixel;
superpixel;
classification ... See more keywords
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Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3075605
Abstract: Due to the high representational efficiency, superpixel largely reduces the number of image primitives for subsequent processing. However, superpixel is scarcely utilized in recent methods since its irregular shape is intractable for standard convolutional layer.…
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Keywords:
superpixel;
superpixel convolutional;
image;
network ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.3029939
Abstract: This article presents a novel variational model based on fuzzy clustering and total variation regularization for superpixel segmentation. Compared with the classical hard-labeled methodologies, our approach gives soft results via the fuzzy membership function, and…
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Keywords:
superpixel segmentation;
superpixel;
variational fuzzy;
fuzzy superpixel ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3151875
Abstract: 3-D Gabor, as a typical filter, plays a critical role in extracting discriminative spectral–spatial features from hyperspectral images (HSIs). However, the performance of traditional 3-D Gabor is limited by the uniform response to each direction,…
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Keywords:
gabor;
variable gabor;
classification;
superpixel ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3177636
Abstract: Sparse unmixing (SU) has been widely applied to remotely sensed hyperspectral images interpretation. Compared with traditional unmixing algorithms, SU does not need to extract pure signatures (endmembers) from the image. The endmember matrix is constructed…
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Keywords:
sparse;
superpixel;
low rank;
regularization ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3092817
Abstract: View synthesis allows observers to explore static scenes using aligned color images and depth maps captured in a preset camera path. Among the options, depth-image-based rendering (DIBR) approaches have been effective and efficient since only…
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Keywords:
superpixel;
approach;
view;
image ... See more keywords