Results 111 to 120 of about 4,342 (209)

Computer Vision with a Superpixelation Camera

CoRR
Conventional cameras generate a lot of data that can be challenging to process in resource-constrained applications. Usually, cameras generate data streams on the order of the number of pixels in the image. However, most of this captured data is redundant for many downstream computer vision algorithms.
Sasidharan Mahalingam, Rachel Brown, Atul Ingle   +2 more
openaire   +3 more sources

Segmentation of SAR images using similarity ratios for generating and clustering superpixels

, 2016
The superpixels are groups of similar neighbouring pixels which are perceptually meaningful and representationally efficient segments. Among those existing superpixel generating algorithms, simple linear iterative clustering (SLIC) seems to be one of the
Leloğlu, Uğur Murat, AKYİLMAZ, EMRE
core   +1 more source

Multiscale Superpixel-Guided Weighted Graph Convolutional Network for Polarimetric SAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric synthetic aperture radar (PolSAR) has attracted more attentions because of its excellent observation ability, and PolSAR image classification has become one of the significant tasks in remote sensing interpretation.
Ru Wang, Yinju Nie, Jie Geng
doaj   +1 more source

Sizing mudsnails: Applying superpixels to scale growth detection under ocean warming

Methods in Ecology and Evolution
The expansion of scientific image data holds great promise to quantify individuals, size distributions and traits. Computer vision tools are especially powerful to automate data mining of images and thus have been applied widely across studies in aquatic
Liam MacNeil, Léa J. Joly, Maysa Ito, Anna Steinmann, Knut Mehler, Marco Scotti   +5 more
doaj   +1 more source

Unsupervised instance segmentation with superpixels

Pattern Recognition
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire   +3 more sources

SLIC-Former: a superpixel-guided transformer framework for automatic liver segmentation in CT images. [PDF]

Sci Rep
Elqersh SF, Haikal AY, Saafan MM, Sakr NA.   +3 more
europepmc   +1 more source

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening. [PDF]

Sci Rep
Hernández J, Alayón S, Sigut JF, Díaz-Alemán T.   +3 more
europepmc   +1 more source

SLIC Superpixels

, 2010
Superpixels are becoming increasingly popular for use in computer vision applications. However, there are few algorithms that output a desired number of regular, compact superpixels with a low computational overhead. We introduce a novel algorithm that clusters pixels in the combined five-dimensional color and image plane space to efficiently generate ...
Achanta, Radhakrishna, Shaji, Appu, Smith, Kevin, Lucchi, Aurélien, Fua, Pascal, Süsstrunk, Sabine   +5 more
openaire   +1 more source

Multi-class semantic segmentation of oral cancer tissues on whole-slide images: A SuperPixel enhanced deep learning approach. [PDF]

J Pathol Inform
León F, Champagnac A, Dupoy M, Fayette JM, Csűry TD, Duraffourg L, Saintigny P.   +6 more
europepmc   +1 more source

Instance-level landmark labeling via multi-layer superpixels

, 2012
Conference Name:13th Pacific-Rim Conference on Multimedia, PCM 2012. Conference Address: Singapore, Singapore. Time:December 4, 2012 - December 6, 2012.Millions of place-specified photos are uploaded on the Internet.
Liu, Han, 曲延云, Qu, Yanyun, Yang, Jiangjun, Xie, Yi, Li, Cuihua, 谢怡, 李翠华   +7 more
core