Results 81 to 90 of about 5,165 (221)
Superpixel Estimation for Hyperspectral Imagery [PDF]
In the past decade, there has been a growing need for machine learning and computer vision components (segmentation, classification) in the hyperspectral imaging domain. Due to the complexity and size of hyperspectral imagery and the enormous number of wavelength channels, the need for combining compact representations with image segmentation and ...
Pegah Massoudifar +2 more
openaire +1 more source
Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley +1 more source
Superpixel-driven level set tracking
In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly.
Xi Li +7 more
core +1 more source
Short Abstract This study evaluates the effectiveness of UAV multispectral imagery combined with machine learning techniques for mapping neglected and underutilised crop species (NUS), specifically taro and sweet potato in smallholder farming systems in South Africa.
Mishkah Abrahams +7 more
wiley +1 more source
Superpixel segmentation based on anisotropic edge strength [PDF]
Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels.
Bernard De Baets +3 more
core +1 more source
Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda +3 more
openaire +2 more sources
This letter presents an unsupervised stereoscopic saliency detection method for rail surface defects that integrates global low‐rank reconstruction with depth outlier analysis. A binocular line‐scanning system simultaneously acquires RGB images and depth maps, with a Global Low‐Rank Nonnegative Reconstruction (GLRNNR) algorithm extracting 2D saliency ...
Zhiwen Xiong, Yuanchun Li
wiley +1 more source
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification
Hyperspectral images encompass abundant information and provide unique characteristics for material classification. However, the labeling of training samples can be challenging in hyperspectral image classification.
Jia, Sen +7 more
core +1 more source
Boundary-preserving superpixel segmentation
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 +3 more
doaj +1 more source
ABSTRAK Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang ...
MUHAMMAD KHAERUL NAIM MURSALIM +1 more
doaj +1 more source

