Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian
mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the …
mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the …
A spatially constrained generative asymmetric Gaussian mixture model for image segmentation
Z Ji, Y Huang, Q Sun, G Cao - Journal of Visual Communication and Image …, 2016 - Elsevier
Accurate image segmentation is an essential step in image processing, where Gaussian
mixture models with spatial constraint play an important role. Nevertheless, most methods …
mixture models with spatial constraint play an important role. Nevertheless, most methods …
Non‐local‐based spatially constrained hierarchical fuzzy C‐means method for brain magnetic resonance imaging segmentation
Owing to the existence of noise and intensity inhomogeneity in brain magnetic resonance
(MR) images, the existing segmentation algorithms are hard to find satisfied results. In this …
(MR) images, the existing segmentation algorithms are hard to find satisfied results. In this …
Dirichlet Gaussian mixture model: Application to image segmentation
Gaussian mixture model based on the Dirichlet distribution (Dirichlet Gaussian mixture
model) has recently received great attention for modeling and processing data. This paper …
model) has recently received great attention for modeling and processing data. This paper …
Color matching simulation of ocean landscape decoration pattern based on visual communication
J Wang, M Liu, W Li - Journal of Coastal Research, 2020 - meridian.allenpress.com
ABSTRACT Wang, J.; Liu, M., and Li, W., 2020. Color matching simulation of ocean
landscape decoration pattern based on visual communication. In: Yang, DF and Wang …
landscape decoration pattern based on visual communication. In: Yang, DF and Wang …
Flexible hierarchical Gaussian mixture model for high-resolution remote sensing image segmentation
X Shi, Y Li, Q Zhao - Remote Sensing, 2020 - mdpi.com
The Gaussian mixture model (GMM) plays an important role in image segmentation, but the
difficulty of GMM for modeling asymmetric, heavy-tailed, or multimodal distributions of pixel …
difficulty of GMM for modeling asymmetric, heavy-tailed, or multimodal distributions of pixel …
Image segmentation with implicit color standardization using spatially constrained expectation maximization: Detection of nuclei
Color nonstandardness—the propensity for similar objects to exhibit different color
properties across images—poses a significant problem in the computerized analysis of …
properties across images—poses a significant problem in the computerized analysis of …
Segmentation of brain images using adaptive atlases with application to ventriculomegaly
Segmentation of brain images often requires a statistical atlas for providing prior information
about the spatial position of different structures. A major limitation of atlas-based …
about the spatial position of different structures. A major limitation of atlas-based …
基于G-MRF 模型的玉米叶斑病害图像的分割
赖军臣， 汤秀娟， 谢瑞芝， 白中英， 李少昆 - 中国农业科学, 2010 - cqvip.com
[目的] 图像分割是作物病害自动识别系统实现的难点之一, 前人研究大多采用基于阈值或聚类的
分割算法, 方法简单, 易于实现, 但分割精度较低. 本文引入高斯模型的Markov 随机场分割模型(G …
分割算法, 方法简单, 易于实现, 但分割精度较低. 本文引入高斯模型的Markov 随机场分割模型(G …
A fuzzy logic model based Markov random field for medical image segmentation
Fuzzy logic incorporates human knowledge into the system via facts and rules and hence
widely used in image segmentation. Another successful approach in image segmentation is …
widely used in image segmentation. Another successful approach in image segmentation is …