Results 21 to 30 of about 4,217 (208)
Extended set of superpixel features
Компьютерная оптика, 2021 Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of shape,
A.A. Egorova, V.V. Sergeyev
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Heterogeneous Images Change Detection Based on Iterative Joint Global–Local Translation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Most heterogeneous change detection methods based on transfer learning may not yield satisfactory results due to the lack of comprehensive utilization of the global and local characteristics of the image.
Hao Chen, Fachuan He, Jinming Liu
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Self-Adaptive Superpixels Based on Neural Network Models
IEEE Access, 2020 In this paper, the self-adaptive superpixels are generated based on a neural network model. Superpixels are clusters of pixels, which can simplify the expression of images. Superpixels are widely used in the field of video/image processing.
Xiuxiu Bai, Cong Wang, Zhiqiang Tian
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Hybrid superpixel segmentation [PDF]
2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015 Superpixel over-segment image into meaningful clusters so that pixels in each cluster belong to one object. Many state-of-art superpixel algorithms have to make trade-offs between different concerns. As a result, algorithms that can produce good result in some situations fail in another.
Yuan Liu +3 more
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Scale‐adaptive superpixels for medical images
Quantitative Biology, 2022 Background Superpixel segmentation is a powerful preprocessing tool to reduce the complexity of image processing. Traditionally, size uniformity is one of the significant features of superpixels. However, in medical images, in which subjects scale varies
Limin Sun, Dongyang Ma, Yuanfeng Zhou
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Optimized method for segmentation of ancient mural images based on superpixel algorithm
Frontiers in Neuroscience, 2022 High-precision segmentation of ancient mural images is the foundation of their digital virtual restoration. However, the complexity of the color appearance of ancient murals makes it difficult to achieve high-precision segmentation when using traditional
Jinxing Liang +10 more
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Infrared Image Superpixel Segmentation Based on Seed Strategy of Contour Encoding
Applied Sciences, 2022 Superpixel segmentation has become a crucial pre-processing tool to reduce computation in many computer vision applications. In this paper, a superpixel extraction algorithm based on a seed strategy of contour encoding (SSCE) for infrared images is ...
Weihua Li +3 more
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Rooted Spanning Superpixels [PDF]
International Journal of Computer Vision, 2020 AbstractThis paper proposes a new approach for superpixel segmentation. It is formulated as finding a rooted spanning forest of a graph with respect to some roots and a path-cost function. The underlying graph represents an image, the roots serve as seeds for segmentation, each pixel is connected to one seed via a path, the path-cost function measures ...
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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 ...
Jianchao Zhang +5 more
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SUPERPIXEL-BASED UNSUPERVISED CHANGE DETECTION USING MULTI-DIMENSIONAL CHANGE VECTOR ANALYSIS AND SVM-BASED CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In this paper, a novel superpixel-based approach is introduced for unsupervised change detection using remote sensing images. The proposed approach contains three steps: 1) Superpixel segmentation.
Z. Wu, Z. Hu, Q. Fan
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