Results 41 to 50 of about 9,139 (221)
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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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
semanticscholar +1 more source
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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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
semanticscholar +1 more source
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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SWAG: Superpixels Weighted by Average Gradients for Explanations of CNNs
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Providing an explanation of the operation of CNNs that is both accurate and interpretable is becoming essential in fields like medical image analysis, surveillance, and autonomous driving.
Thomas Hartley +3 more
semanticscholar +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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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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Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels
Remote Sensing, 2019 We present a flexible methodology to identify forest loss in synthetic aperture radar (SAR) L-band ALOS/PALSAR images. Instead of single pixel analysis, we generate spatial segments (i.e., superpixels) based on local image statistics to track homogeneous
Charlie Marshak +2 more
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