Results 211 to 220 of about 34,853 (246)

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

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security, 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.
C. L. Chowdhary
semanticscholar   +2 more sources

Content-Based Video Retrieval Using Integration of Curvelet Transform and Simple Linear Iterative Clustering

International Journal of Image and Graphics, 2021
Video is a rich information source containing both audio and visual information along with motion information embedded in it. Applications such as e-learning, live TV, video on demand, traffic monitoring, etc.
Reddy Mounika Bommisetty, A. Khare, M. Khare, P. Palanisamy   +3 more
semanticscholar   +2 more sources

A Sample Enhancement Method Based on Simple Linear Iterative Clustering Superpixel Segmentation Applied to Multibeam Seabed Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
Full-coverage and high-efficiency seabed sediment detection and identification are critical elements of digital marine construction that support the three-dimensional and thematic development of maritime spatial geographic information systems.
H. Hu, Chengkai Feng, Xiaodong Cui, Kai Zhang, Xianhai Bu, Fanlin Yang   +5 more
semanticscholar   +2 more sources

Event-related fMRI over-segmentation by Rough Simple Linear Iterative Clustering applied in schizophrenia diagnosis

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
From the current computational methods used for schizophrenia diagnosis, fMRI data are frequently processed by i) model-based criteria, using specific models according to the hemodynamic function, or ii) data-driven methods, based on data description ...
Claudia Cruz Martinez, Carlos A. Reyes García   +1 more
semanticscholar   +2 more sources

Enhanced Algorithm of Superpixel Segmentation Using Simple Linear Iterative Clustering

2019 12th International Conference on Developments in eSystems Engineering (DeSE), 2019
Image segmentation process represents the main stage for most computer vision systems. This paper presents an improved algorithm based on simple linear iterative clustering (SLIC) to reduce the number of used seeds for threshold estimation as well as the
R. Al-azawi, Q. Al-Jubouri, Y. A. Mohammed   +2 more
semanticscholar   +2 more sources

Acceleration of simple linear iterative clustering using early candidate cluster exclusion

Journal of Real-Time Image Processing, 2019
For superpixel segmentation that partitions an image into multiple homogeneous regions, simple linear iterative clustering (SLIC) has been widely used as a preprocessing step in various image processing and computer vision applications due to its outstanding performance in terms of speed and accuracy.
Ki-Won Oh, Kang-Sun Choi
semanticscholar   +2 more sources

A robust simple linear iterative clustering algorithm

2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), 2017
This paper presents a novel superpixel algorithm — a robust simple linear iterative clustering (R_SLIC) algorithm. The traditional SLIC algorithm is allergic to noise. In order to increase the robustness of the algorithm and make it noise-insensitive, we modify the framework of SLIC by supplementing a regularized term.
Shiren Li, Junwei Huang, Jiayu Shang, Xiongyi Wei   +3 more
semanticscholar   +2 more sources

KSLIC: K-mediods Clustering Based Simple Linear Iterative Clustering

Chinese Conference on Pattern Recognition and Computer Vision, 2019
Simple Linear Iterative Clustering (SLIC) is one of the most excellent superpixel segmentation algorithms with the most comprehensive performance and is widely used in various scenes of production and living. As a preprocessing step in image processing, superpixel segmentation should meet various demands in real life as much as possible, but SLIC is ...
Houwang Zhang, Yuan Zhu
semanticscholar   +2 more sources

Speeded-up Simple Linear Iterative Clustering Based on Region Homogeneity

2019 2nd International Conference on Safety Produce Informatization (IICSPI), 2019
For better analyzing and adopting superpixel methods in image segmentation, an improved Simple Linear Iterative Clustering (SLIC) algorithm is put forward, which sustains that homogeneous regions show high consistence during clustering.
Zhifei Wei, B. Guo, Cheng Li, Zhijie Chen   +3 more
semanticscholar   +2 more sources

Research on the optimization of simple linear iterative clustering algorithm in superpixel segmentation

Fifth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2024)
Superpixel-based image segmentation methods have gained significant attention due to their ability to reduce computational complexity while effectively preserving image boundary information.
Hefei Wang
semanticscholar   +2 more sources