Results 231 to 240 of about 34,853 (246)

Semi-supervised image segmentation with globalized probability of boundary and simple linear iterative clustering

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017
Semi-supervised image segmentation in order to get a divided image from the tag portion. In this paper, a new semi-supervised image segmentation framework with global boundaries of probability (gPb) and simple linear iterative clustering (SLIC) is proposed.
Ma Jun-liang, Wang Xili, Xiao Bing
semanticscholar   +2 more sources

Walsh Hadamard Transform for Simple Linear Iterative Clustering (SLIC) Superpixel Based Spectral Clustering of Multimodal MRI Brain Tumor Segmentation

IRBM, 2019
Abstract The automated brain tumor segmentation methods are challenging due to the diverse nature of tumors. Recently, the graph based spectral clustering method is utilized for brain tumor segmentation to make high-quality segmentation output. In this paper, a new Walsh Hadamard Transform (WHT) texture for superpixel based spectral clustering is ...
M. Angulakshmi, G. Priya
semanticscholar   +2 more sources

Simple Linear Iterative Clustering Based Tumor Segmentation in Liver Region of Abdominal CT-scan

2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), 2017
Accurate tumor segmentation from CT scans of liver is a crucial stage in diagnosis. We have proposed a novel framework for automatic segmentation of tumor using Simple Linear Iterative Clustering (SLIC) technique. This approach generates super pixels and thus reduces number of regions in the segmentation.
H. Aravinda, M. Sudhamani
semanticscholar   +2 more sources

An automated glaucoma screening system using cup-to-disc ratio via Simple Linear Iterative Clustering superpixel approach

Biomedical Signal Processing and Control, 2019
Abstract Glaucoma is an ocular disease caused by damaged optic nerve head (ONH) due to high intraocular pressure (IOP) within the eyeball. Usually, glaucoma patients will not realize the presence of this disease due to lack of visible early symptoms such as pain and redness mark.
Nur Ayuni Mohamed, M. A. Zulkifley, W. Zaki, A. Hussain   +3 more
semanticscholar   +2 more sources

An image segmentation method based on Simple Linear Iterative Clustering and graph-based semi-supervised learning

2015 International Conference on Orange Technologies (ICOT), 2015
Image segmentation is one of the most popular applications in contemporary computer vision and image processing field. In this paper, a novel segmentation framework is proposed based on Simple Linear Iterative Clustering (SLIC) and graph-based semi-supervised learning (graph-based SSL).
Ma Jun-liang, Wang Xili, Xiao Bing
semanticscholar   +3 more sources

Detection of Primary Glaucoma in Humans Using Simple Linear Iterative Clustering (SLIC) Algorithm

Lecture Notes on Data Engineering and Communications Technologies, 2018
It is a well-known fact in the world that the glaucoma is the second largest disease which is affecting the human beings in the world. Proper care has to be taken to avoid this at an early stage as this would result in the loss of vision in the humans. This occurs due to the increase in the pressure in the eyes, where it bursts the nerve fibres leading
G. Pavithra, T. Manjunath, D. Lamani
semanticscholar   +2 more sources

Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC)

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
In this paper, we propose an automated method for assessment of small bowel contraction movement based on the simple linear iterative clustering (SLIC) with cine-MRI. In our proposed method, the small bowel in each frame is considered as a super-pixel and is first segmented by the use of SLIC.
Yenwei Chen, A. Furukawa, A. Taniguchi, T. Tateyama, S. Kanasaki   +4 more
semanticscholar   +2 more sources

Simple linear iterative clustering based low-cost pseudo-LiDAR for 3D object detection in autonomous driving

Multimedia Tools and Applications, 2023
Duy Le, Linh Nguyen
semanticscholar   +2 more sources

IFT-SLIC: A General Framework for Superpixel Generation Based on Simple Linear Iterative Clustering and Image Foresting Transform

2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015
Image representation based on super pixels has become indispensable for improving efficiency in Computer Vision systems. Object recognition, segmentation, depth estimation, and body model estimation are some important problems where super pixels can be applied.
Eduardo Barreto-Alexandre, A. Chowdhury, A. Falcão, P. A. Miranda   +3 more
semanticscholar   +2 more sources

Hyperspectral image classification by fusing sparse representation and simple linear iterative clustering

Journal of Applied Remote Sensing, 2015
We present a hyperspectral image classification method based on sparse representation and superpixel segmentation. The presented method includes two main stages, which are sparse representation of extended multiattribute profiles (EMAPs) and superpixel segmentation of EMAPs.
Xiaoqing Tang, Junlong Chen, Yazhou Liu, Quansen Sun   +3 more
openaire   +1 more source