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Automated detection of malaria parasites on thick blood smears via mobile devices
An estimated 214 million cases of malaria were detected in 2015, which caused
approximately 438 000 deaths. Around 90% of those cases occurred in Africa, where the …
approximately 438 000 deaths. Around 90% of those cases occurred in Africa, where the …
Mobile-based analysis of malaria-infected thin blood smears: automated species and life cycle stage determination
Microscopy examination has been the pillar of malaria diagnosis, being the recommended
procedure when its quality can be maintained. However, the need for trained personnel and …
procedure when its quality can be maintained. However, the need for trained personnel and …
Adaptive scale selection for multiscale segmentation of satellite images
J Li, L Feng, X Zhang, X Hu - IEEE Journal of Selected Topics …, 2017 - ieeexplore.ieee.org
With dramatically increasing of the spatial resolution of satellite imaging sensors, object-
based image analysis (OBIA) has been gaining prominence in remote sensing applications …
based image analysis (OBIA) has been gaining prominence in remote sensing applications …
Semantic segmentation of remote sensing imagery using an object-based Markov random field model with auxiliary label fields
The Markov random field (MRF) model has attracted great attention in the field of image
segmentation. However, most MRF-based methods fail to resolve segmentation …
segmentation. However, most MRF-based methods fail to resolve segmentation …
Semantic segmentation of remote sensing imagery using object-based Markov random field model with regional penalties
C Zheng, L Wang - IEEE Journal of Selected Topics in Applied …, 2014 - ieeexplore.ieee.org
This paper proposes a novel object-based Markov random field model (OMRF) for semantic
segmentation of remote sensing images. First, the method employs the region size and edge …
segmentation of remote sensing images. First, the method employs the region size and edge …
A Markov random field integrating spectral dissimilarity and class co-occurrence dependency for remote sensing image classification optimization
This paper develops a novel Markov Random Field (MRF) model for edge-preserving spatial
regularization of classification maps. MRF methods based on the uniform smoothness lead …
regularization of classification maps. MRF methods based on the uniform smoothness lead …
Segmentation for remote-sensing imagery using the object-based Gaussian-Markov random field model with region coefficients
C Zheng, H Yao - International Journal of Remote Sensing, 2019 - Taylor & Francis
The Markov random field (MRF) model is a widely used method for remote-sensing image
segmentation, especially the object-based MRF (OMRF) method has attracted great …
segmentation, especially the object-based MRF (OMRF) method has attracted great …
Constructing hierarchical segmentation tree for feature extraction and land cover classification of high resolution MS imagery
Accurate interpretation of high spatial resolution multispectral (MS) imagery relies on the
extraction and fusion of information obtained from both spectral and spatial domains …
extraction and fusion of information obtained from both spectral and spatial domains …
Image segmentation: A survey
Segmentation is needed for extracting the useful or concerned information. There are lots of
segmentation algorithms available. Here, we have discussed various segmentation …
segmentation algorithms available. Here, we have discussed various segmentation …
Federated filter algorithm with positioning technique based on 3D sensor
G Dai, L Yu, H Xu, Z Hou, S Fei - Circuits, Systems, and Signal Processing, 2018 - Springer
Somatosensory control based on 3D sensors has been widely used as a virtual reality and
motion capture technology in large-screen human–computer interactive systems. However …
motion capture technology in large-screen human–computer interactive systems. However …