Results 21 to 30 of about 6,422 (208)
Scale-Adaptive Superpixels [PDF]
Color and Imaging Conference, 2018 Size uniformity is one of the prominent features of superpixels. However, size uniformity rarely conforms to the varying content of an image. The chosen size of the superpixels therefore represents a compromise - how to obtain the fewest superpixels without losing too much important detail.
Achanta, Radhakrishna +3 more
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Tumor localization in tissue microarrays using rotation invariant superpixel pyramids [PDF]
, 2015 Tumor localization is an important component of histopathology image analysis; it has yet to be reliably automated for breast cancer histopathology. This paper investigates the use of superpixel classification to localize tumor regions.
Akbar, Shazia +7 more
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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 0001 +4 more
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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 labeling for medical image segmentation [PDF]
, 2023 openNowadays, most methods for image segmentation consider images in a pixel- wise manner, which is a huge job and also time-consuming. On the other hand, superpixel labeling can make the segmentation task easier in some aspects. First, superpixels carry
REZAEI, SOMAYEH
core
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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Remote Sensing, 2023 Superpixel generation of polarimetric synthetic aperture radar (PolSAR) images is widely used for intelligent interpretation due to its feasibility and efficiency.
Meilin Li +5 more
doaj +1 more source
Video Segmentation with Superpixels [PDF]
, 2013 Due to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various within- and between-frame affinities suitable for video segmentation.
Fabio Galasso +2 more
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A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function
IEEE Access, 2020 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.
Guoqi Liu +3 more
doaj +1 more source
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification
, 2020 As a typical graph-based semisupervised learning technique, the label propagation (LP) approach has gained much attention in recent years. The key to LP algorithms is the propagation capability and efficiency of the similarity matrix, which describes the
Jia, Sen +4 more
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