Results 91 to 100 of about 5,165 (221)

Robust Active Contour Model for Image Segmentation Using a Probability Density Function Approach

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes an active contour model‐based image segmentation algorithm using the probability density function. Initially, the probability density function is defined by the local mean and variance. Next, a length penalty term and a distance regularization term are incorporated.
XinChao Meng, Si Si, Pei Zhang
wiley   +1 more source

AU-super: superpixel scale optimization and training data augmentation strategy for hyperspectral image classification

Frontiers in Remote Sensing
The spectral information of each pixel in hyperspectral images contains valuable information about object properties, although accurate labeling is required in supervised classification to guide the model in distinguishing different land cover types ...
Yiran Wang, Lingling Li, Mingming Xu, Shanwei Liu, Muhammad Yasir, Manuel Á. Aguilar, Fernando J. Aguilar   +6 more
doaj   +1 more source

GCD‐Net: A Gated and Cross‐Dynamically Enhanced Network for Accurate Extraction of Offshore Raft Aquaculture

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang, Lianwei Li, Cunjin Xue, Zhi Zheng, Shiyu Wu   +4 more
wiley   +1 more source

Superpixel-based spatial amplitude and phase modulation using a digital micromirror device

, 2014
We present a superpixel method for full spatial phase and amplitude control of a light beam using a digital micromirror device (DMD) combined with a spatial filter.
SA Goorden (21996356), J Bertolotti (21008225), AP Mosk (21849128)   +2 more
core  

Echogram SLIC superpixel parameters.

, 2018
Echogram SLIC superpixel parameters.
Joseph M. Wheaton (400702), Daniel Buscombe (4962529), Daniel Hamill (4962526)   +2 more
core   +1 more source

Content-driven superpixels and their applications

, 2013
This thesis develops a new superpixel algorithm that displays excellent visual reconstruction of the original image. It achieves high stability across multiple random initialisations, achieved by producing superpixels directly corresponding to local ...
Lowe, Richard
core  

Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification

, 2019
In virtue of the spatial structural characteristic of surface materials, the performance of the hyperspectral image classification can be boosted by incorporating texture information.
Zhu, Jiasong, Jia, Sen, Zhou, Jun, Deng, Xianglong, Jia, Xiuping, Xu, Meng   +5 more
core   +1 more source

Improved Fast Generation of Superpixel Algorithms with Deep Network

Jisuanji kexue yu tansuo, 2020
Superpixels are the result of over-segmentation of the image and provide an intermediate representation of the image data. It plays an important role in the research of computer vision and other fields. However, the existing superpixel algorithms are non-
SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
doaj   +1 more source

Deteksi Teks Secara Otomatis Pada Natural Image Berbasis Superpixel Menggunakan Maximally Stable Extremal Regions dan Stroke Width Transform

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017
Text detection in natural image is something to do before performing character recognition. The process of text detection plays an important role in the acquisition of information in an image.
Yohannes Yohannes
doaj   +1 more source

Superpixel image segmentation.

, 2018
(a) original image. (b) result of superpixel segmentation.
Guan Yang (520726), Meiyun Wang (395124), Haibo Pang (5662226), Zhe Zhao (157204), Yusong Lin (4446244)   +4 more
core   +1 more source