Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” [PDF]
IEEE AccessNiannian Wang +4 more
semanticscholar +3 more sources
IEEE Access, 2017 In order to solve the segmentation degradation phenomenon when the number of super pixels is low, we propose a novel color image segmentation algorithm based on GrabCut.
Dayong Ren +3 more
doaj +2 more sources
Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation [PDF]
Frontiers in Bioengineering and BiotechnologyIntroduction: Magnetic Resonance Imaging (MRI) is essential in diagnosing cervical spondylosis, providing detailed visualization of osseous and soft tissue structures in the cervical spine.
Yi-Fan Zhong +38 more
doaj +2 more sources
Intelligent High-Resolution Geological Mapping Based on SLIC-CNN
ISPRS International Journal of Geo-Information, 2020 High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems.
exaly +3 more sources
Superpixels and Polygons using Simple Non-Iterative Clustering [PDF]
Computer Vision and Pattern Recognition, 2017 We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster.
Achanta, Radhakrishna +1 more
core +2 more sources
FLIC: Fast linear iterative clustering with active search [PDF]
Computational Visual Media, 2018 In this paper, we reconsider the clustering problem for image over-segmentation from a new perspective. We propose a novel search algorithm called “active search” which explicitly considers neighbor continuity.
Jiaxing Zhao +4 more
doaj +2 more sources
Artificial Intelligence-Based Approaches for Brain Tumor Segmentation in MRI: A Review. [PDF]
NMR BiomedManually segmenting brain tumors in magnetic resonance imaging is a time‐consuming task that requires years of professional experience and clinical expertise. We proposed a study, which contains a comprehensive review of the brain tumor segmentation techniques. It selects the effective approaches to better understand the AI applications for brain tumor
Bibi K +9 more
europepmc +2 more sources
Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)
Sensors, 2022 Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel.
Manzoor Ahmed Hashmani +5 more
doaj +1 more source
IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Active queries is an active learning method used for classification of remote sensing images. It consists of three steps: hierarchical clustering, dendrogram division, and active label selection.
S. Wuttke, W. Middelmann, U. Stilla
doaj +1 more source
A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image
Sensors, 2021 The star tracker is widely used for high-accuracy missions due to its high accuracy position high autonomy and low power consumption. On the other hand, the ability of interference suppression of the star tracker has always been a hot issue of concern. A
Chenguang Shi +4 more
doaj +1 more source