Results 21 to 30 of about 1,822 (166)
Remote Sensing, 2019 Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification.
Hengjian Tong +3 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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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 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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Bioengineering, 2022 Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time.
Chien-Cheng Lee +3 more
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Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua +3 more
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SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
R. Achanta +5 more
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Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images
Applied Sciences, 2022 Prostate brachytherapy is a treatment for prostate cancer; during the planning of the procedure, ultrasound images of the prostate are taken. The prostate must be segmented out in each of the ultrasound images, and to assist with the procedure, an ...
Jay Carriere +3 more
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Remote Sensing, 2022 The discrepancies in existing land cover data are relatively high, indicating low local precision and application limitations. Multisource data fusion is an effective way to solve this problem; however, the fusion procedure often requires resampling to ...
Qi Jin, Erqi Xu, Xuqing Zhang
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BASS: Boundary-Aware Superpixel Segmentation [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 This work is partly funded by the Spanish MINECO project RobInstruct TIN2014-58178-R, by the ERA-Net Chistera project I-DRESS PCIN-2015-147 and by the EU project AEROARMS H2020-ICT-2014-1-644271. A. Rubio is supported by the industrial doctorate grant 2015-DI-010 of the AGAUR.
Rubio, Antonio +3 more
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