Results 31 to 40 of about 9,095 (206)

A survey on the utilization of Superpixel image for clustering based image segmentation

open access: yesMultimedia tools and applications, 2023
Superpixel become increasingly popular in image segmentation field as it greatly helps image segmentation techniques to segment the region of interest accurately in noisy environment and also reduces the computation effort to a great extent.
Buddhadev Sasmal, K. G. Dhal
semanticscholar   +1 more source

Superpixel Generation for Polarimetric SAR Images with Adaptive Size Estimation and Determinant Ratio Test Distance

open access: yesRemote Sensing, 2023
Superpixel generation of polarimetric synthetic aperture radar (PolSAR) images is widely used for intelligent interpretation due to its feasibility and efficiency.
Meilin Li   +5 more
doaj   +1 more source

Superpixel Hierarchy

open access: yesIEEE 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
openaire   +3 more sources

Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming remote sensing applications. However, for artificial-intelligence-guided tasks, such as land cover mapping and ground-object mapping, most deep-learning-based architectures
T. Behera   +3 more
semanticscholar   +1 more source

Superpixel-based color transfer [PDF]

open access: yes2017 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
openaire   +2 more sources

Building Detection in High-Resolution Remote Sensing Images by Enhancing Superpixel Segmentation and Classification Using Deep Learning Approaches

open access: yesBuildings, 2023
Accurate building detection is a critical task in urban development and digital city mapping. However, current building detection models for high-resolution remote sensing images are still facing challenges due to complex object characteristics and ...
Ayoub Benchabana   +3 more
semanticscholar   +1 more source

LESC: Superpixel cut‐based local expansion for accurate stereo matching

open access: yesIET Image Processing, 2022
The rapid estimation of the accurate disparity between pixels is the goal of stereo matching. However, it is very difficult for the 3D labels‐based methods due to huge search space of 3D labels, especially for high‐resolution images.
Xianjing Cheng   +6 more
doaj   +1 more source

Image Reconstruction using Superpixel Clustering and Tensor Completion [PDF]

open access: yesSignal Processing, 2023
This paper presents a pixel selection method for compact image representation based on superpixel segmentation and tensor completion. Our method divides the image into several regions that capture important textures or semantics and selects a ...
Maame G. Asante-Mensah   +4 more
semanticscholar   +1 more source

BASS: Boundary-Aware Superpixel Segmentation [PDF]

open access: yes2016 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
openaire   +3 more sources

A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function

open access: yesIEEE Access, 2020
Superpixel is an essential tool for computer vision. In practice, classic superpixel algorithms do not exhibit good boundary adherence with fewer superpixels, which will greatly hamper further analysis.
Guoqi Liu   +3 more
doaj   +1 more source

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