A survey on the utilization of Superpixel image for clustering based image segmentation
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …
image segmentation techniques to segment the region of interest accurately in noisy …
[HTML][HTML] An automated extraction of small-and middle-sized rice fields under complex terrain based on SAR time series: A case study of Chongqing
L Wang, H Ma, J Li, Y Gao, L Fan, Z Yang… - … and Electronics in …, 2022 - Elsevier
Spatial assessment of rice cultivation area is a crucial activity, which is the foundation for the
government to effectively improve the comprehensive rice production, promote the …
government to effectively improve the comprehensive rice production, promote the …
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation
Accurate segmentation of brain tumors is very essential for brain tumor diagnosis and
treatment plans. In general, brain tumor includes WT (whole tumor), TC (tumor core) and ET …
treatment plans. In general, brain tumor includes WT (whole tumor), TC (tumor core) and ET …
Two-dimensional reciprocal cross entropy multi-threshold combined with improved firefly algorithm for lung parenchyma segmentation of COVID-19 CT image
G Wang, S Guo, L Han, AB Cekderi - Biomedical Signal Processing and …, 2022 - Elsevier
The lesions of COVID-19 CT image show various kinds of ground-glass opacity and
consolidation, which are distributed in left lung, right lung or both lungs. The lung lobes are …
consolidation, which are distributed in left lung, right lung or both lungs. The lung lobes are …
Superpixel generation for SAR imagery based on fast DBSCAN clustering with edge penalty
In this article, we propose an adaptive superpixel generation algorithm for synthetic aperture
radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of …
radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of …
Region-level SAR image segmentation based on edge feature and label assistance
This article proposes a novel segmentation algorithm for synthetic aperture radar (SAR)
images. The algorithm performs region-level segmentation based on edge feature and label …
images. The algorithm performs region-level segmentation based on edge feature and label …
SAR image segmentation based on constrained smoothing and hierarchical label correction
Synthetic aperture radar (SAR) is widely used in the field of modern remote sensing due to
its high resolution for a comparatively small antenna. However, there are still some …
its high resolution for a comparatively small antenna. However, there are still some …
Fast multiscale superpixel segmentation for SAR imagery
W Zhang, D Xiang, Y Su - IEEE Geoscience and Remote …, 2020 - ieeexplore.ieee.org
Superpixel segmentation is essential to the rapid information extraction from synthetic
aperture radar (SAR) imagery. In this letter, we propose a fast multiscale superpixel …
aperture radar (SAR) imagery. In this letter, we propose a fast multiscale superpixel …
SAR Image Segmentation Based on Complicated Region-Sensitive Adaptive Superpixel Generation and Hybrid Edge Correction
J Ren, R Shang, J Chen, W Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Superpixel segmentation algorithms are predominently based on Simple Linear Iterative
Clustering (SLIC), and treat homogeneous and complex regions equally. This can lead to …
Clustering (SLIC), and treat homogeneous and complex regions equally. This can lead to …
Automatic semantic segmentation of benthic habitats using images from towed underwater camera in a complex shallow water environment
H Mohamed, K Nadaoka, T Nakamura - Remote Sensing, 2022 - mdpi.com
Underwater image segmentation is useful for benthic habitat mapping and monitoring;
however, manual annotation is time-consuming and tedious. We propose automated …
however, manual annotation is time-consuming and tedious. We propose automated …