Results 121 to 130 of about 682 (137)

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.G. Lakshmi Priya
openaire   +3 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.
Yen-Wei Chen, Akira Furukawa, Ayako Taniguchi, Tomoko Tateyama, Shuzo Kanasaki   +4 more
openaire   +3 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, Ananda Shankar Chowdhury, Alexandre Xavier Falcao, Paulo A. Vechiatto Miranda   +3 more
openaire   +1 more source

Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation

2021
With the extensive application of deep acquisition devices, it has become more feasible to access deep data. The accuracy of image segmentation can be improved by depth data as an additional feature. The current research interests in simple linear iterative clustering (SLIC) are because it is a simple and efficient superpixel segmentation method, and ...
openaire   +1 more source

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

2019
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. C. Manjunath, Dharmanna Lamani   +2 more
openaire   +1 more source

SLIC Superpixel Segmentation for Polarimetric SAR Images

IEEE Transactions on Geoscience and Remote Sensing, 2022
Junjun Yin, Yanlei Du, Jian Yang
exaly  

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Sabine Süsstrunk, Appu Shaji, Kevin Smith   +2 more
exaly  

Image classification using SLIC superpixel and FAAGKFCM image segmentation

IET Image Processing, 2020
Ningthoujam Johny Singh, Kanan Wahengbam
exaly  

Superpixel Segmentation for Polarimetric SAR Imagery Using Local Iterative Clustering

IEEE Geoscience and Remote Sensing Letters, 2015
Fachao Qin, Jiming Guo, Fengkai Lang
exaly  

Adaptive Superpixel Generation for Polarimetric SAR Images With Local Iterative Clustering and SIRV Model

IEEE Transactions on Geoscience and Remote Sensing, 2017
Deliang Xiang, Yifang Ban, Wei Wang
exaly