Learning contextual superpixel similarity for consistent image segmentation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: similarity; superpixel; superpixel similarity; image segmentation ... See more keywords
Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: superpixel; visual tracking; model; graph model ... See more keywords
A Superpixel-Wise Approach for Face Sketch Synthesis
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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… read more here.
Keywords: sketch synthesis; sketch; superpixel; face sketch ... See more keywords
A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function
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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… read more here.
Keywords: measure function; superpixel; boundary optimization; superpixel boundary ... See more keywords
Multiscale Superpixel-Based Active Learning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: active learning; multiscale superpixel; superpixel; classification ... See more keywords
Deep Superpixel Convolutional Network for Image Recognition
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: superpixel; superpixel convolutional; image; network ... See more keywords
Variational Fuzzy Superpixel Segmentation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: superpixel segmentation; superpixel; variational fuzzy; fuzzy superpixel ... See more keywords
Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: gabor; variable gabor; classification; superpixel ... See more keywords
Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing
Sign Up to like & getrecommendations! 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… read more here.
Keywords: sparse; superpixel; low rank; regularization ... See more keywords
A Hierarchical Superpixel-Based Approach for DIBR View Synthesis
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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… read more here.
Keywords: superpixel; approach; view; image ... See more keywords
Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3187563
Abstract: This paper proposes a hierarchical superpixel segmentation by representing an image as a hierarchy of 1-nearest neighbor (1-NN) graphs with pixels/superpixels denoting the graph vertices. The 1-NN graphs are built from the pixel/superpixel adjacent matrices… read more here.
Keywords: hierarchical superpixel; superpixel segmentation; superpixel; parallel crtrees ... See more keywords