Results 101 to 110 of about 3,488 (207)

Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification

, 2020
As a typical graph-based semisupervised learning technique, the label propagation (LP) approach has gained much attention in recent years. The key to LP algorithms is the propagation capability and efficiency of the similarity matrix, which describes the
Jia, Sen, Zhou, Jun, Deng, Xianglong, Jia, Xiuping, Xu, Meng   +4 more
core   +1 more source

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis. [PDF]

PLoS One, 2022
Chang CW, Christian M, Chang DH, Lai F, Liu TJ, Chen YS, Chen WJ.   +6 more
europepmc   +1 more source

FPGA acceleration of superpixel segmentation

, 2020
Superpixel segmentation is a preprocessing step for computer vision applications, where an image is split into segments referred to as superpixels.
Östgren, Magnus
core  

Superpixel Embedding Network [PDF]

, 2019
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 ...
Gaur, Utkarsh, Manjunath, BS
core   +1 more source

Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood

IET Computer Vision, 2014
In this study, the authors present a method to extract moving objects in image sequences. The proposed approach is based on a graph cuts algorithm defined on a spatiotemporal superpixel neighbourhood.
Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, Gang Zhou   +5 more
doaj   +1 more source

Boundary-preserving superpixel segmentation

Journal of Applied Science and Engineering
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin, Zhao Li, Chenxun Yuan, Yi Liu   +3 more
doaj   +1 more source

Improved 3D Fracture Reconstruction Method Based on Superpixel Segmentation and Convolutional Neural Network

Applied Sciences
The morphology and connectivity of subsurface fracture networks are critical factors controlling wellbore stability and hydraulic fracturing efficiency.
Xiuxia Sun, Yongdong Fan, Yan Jin, Yunhu Lu, Botao Lin, Xiao Zhang   +5 more
doaj   +1 more source

Adaptive Superpixel for Active Learning in Semantic Segmentation

, 2023
Learning semantic segmentation requires pixel-wise annotations, which can be time-consuming and expensive. To reduce the annotation cost, we propose a superpixel-based active learning (AL) framework, which collects a dominant label per superpixel instead.
Kim, Hoyoung, Hwang, Sehyun, Ok, Jungseul, Kwak, Suha, Oh, Minhyeon   +4 more
core  

Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Superpixel segmentation is an essential step of object-oriented remote sensing image classification; the accuracy of the superpixel segmentation boundary will directly affect the classification result.
Xiaoli Li, Jinsong Chen, Longlong Zhao, Hongzhong Li, Jin Wang, Luyi Sun, Shanxin Guo, Pan Chen, Xuemei Zhao   +8 more
doaj   +1 more source

Efficient Superpixel-Guided Interactive Image Segmentation Based on Graph Theory

, 2018
Image segmentation is a challenging task in the field of image processing and computer vision. In order to obtain an accurate segmentation performance, user interaction is always used in practical image-segmentation applications.
Guanglei Gou, Xin Feng, Xiaofei Zhu, Jianwu Long, Jianxun Zhang   +4 more
core   +1 more source