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.
Galasso F, Cipolla R, Schiele B
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Superpixel Segmentation With Fully Convolutional Networks [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 In computer vision, superpixels have been widely used as an effective way to reduce the number of image primitives for subsequent processing. But only a few attempts have been made to incorporate them into deep neural networks. One main reason is that the standard convolution operation is defined on regular grids and becomes inefficient when applied to
Yang, Fengting +3 more
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DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation [PDF]
, 2015 Automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability.
Farag, Amal +6 more
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Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering
Journal of Harbin University of Science and Technology, 2020 The superpixel segmentation is an important pre-processing step in computer image processing. Thetraditional superpixel segmentation algorithm based on density clustering is better for boundary processing，but the resulting superpixel shape is irregular ...
HAN Jian-hui, TANG Jun-chao
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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 +3 more
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Automated detection of extended sources in radio maps: progress from the SCORPIO survey [PDF]
, 2016 Automated source extraction and parameterization represents a crucial challenge for the next-generation radio interferometer surveys, such as those performed with the Square Kilometre Array (SKA) and its precursors.
Buemi, C. S. +9 more
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Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics
IEEE Access, 2018 Background subtraction is a fundamental problem of computer vision, which is usually the first step of video analytics to extract the interesting region.
Weitao Fang +5 more
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SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES BASED ON HEXAGON INITIALIZATION AND EDGE REFINEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Superpixel segmentation for PolSAR images can heavily decrease the number of primitives for subsequent interpretation while reducing the impact of speckle noise.
M. Li +5 more
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Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm
Tomography, 2022 Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation.
Bing Li +4 more
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Context guided belief propagation for remote sensing image classification. [PDF]
, 2015 We propose a context guided belief propagation (BP) algorithm to perform high spatial resolution multispectral imagery (HSRMI) classification efficiently utilizing superpixel representation.
An, Le, Bhanu, Bir, Mei, Tiancan
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