Results 31 to 40 of about 16,201 (241)
IEEE Transactions on Image Processing, 2020 Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utilize frequently occurring texture patterns or incorporate multiscale context.
Utkarsh Gaur, B. S. Manjunath
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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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Superpixels extraction by an Intuitionistic fuzzy clustering algorithm
, 2021 A scheme to develop the image over-segmentation task is introduced in this paper, it considers the pixels of an image as intuitive fuzzy sets and develops an intuitionistic clustering process of them. In this regard, the main contribution is to provide a
D. M. Vargas
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IEEE Transactions on Image Processing, 2018 Superpixel segmentation is becoming ubiquitous in computer vision. In practice, an object can either be represented by a number of segments in finer levels of detail or included in a surrounding region at coarser levels of detail, and thus a superpixel segmentation hierarchy is useful for applications that require different levels of image segmentation
Xing Wei +4 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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Superpixels: An evaluation of the state-of-the-art [PDF]
Computer Vision and Image Understanding, 2016 Superpixels group perceptually similar pixels to create visually meaningful entities while heavily reducing the number of primitives for subsequent processing steps.
David Stutz, Alexander Hermans, B. Leibe
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Image classification with superpixels and feature fusion method
Journal of Electronic Science and Technology, 2021 This paper presents an effective image classification algorithm based on superpixels and feature fusion. Differing from classical image classification algorithms that extract feature descriptors directly from the original image, the proposed method first
Yang Feng, Ma Zheng, Xie Mei
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Superpixel-based color transfer [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 In this work, we propose a fast superpixel-based color transfer method (SCT) between two images. Superpixels enable to decrease the image dimension and to extract a reduced set of color candidates. We propose to use a fast approximate nearest neighbor matching algorithm in which we enforce the match diversity by limiting the selection of the same ...
Giraud, Rémi +2 more
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