Results 41 to 50 of about 4,342 (209)
Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Classification techniques applied to hyperspectral images are very useful for lithologic discrimination and geological mapping. Classifiers are often applied either to all spectral channels or only to absorption spectral channels.
Yulei Tan +5 more
doaj +1 more source
Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification
Remote SensingSuperpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu +7 more
doaj +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
doaj +1 more source
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
openaire +6 more sources
Result of SLIC superpixels oversegmentation with different number of superpixels.
, 2016 Result of SLIC superpixels oversegmentation with different number of superpixels.
Lin Yang (45852) +2 more
core +1 more source
SEEDS: Superpixels Extracted Via Energy-Driven Sampling [PDF]
, 2021 Superpixel algorithms aim to over-segment the image by grouping pixels that belong to the same object. Many state-of-the-art superpixel algorithms rely on minimizing objective functions to enforce color homogeneity.
Van den Bergh, Michael +3 more
core
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
doaj +1 more source
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
doaj +1 more source
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 ...
Rémi Giraud +2 more
openaire +3 more sources
SMURFS: superpixels from multi-scale refinement of super-regions [PDF]
, 2016 Recent applications in computer vision have come to rely on superpixel segmentation as a pre-processing step for higher level vision tasks, such as object recognition, scene labelling or image segmentation.
Luengo, Imanol +5 more
core +1 more source