Results 241 to 250 of about 127,282 (272)

Acceleration of simple linear iterative clustering using early candidate cluster exclusion

Journal of Real-Time Image Processing, 2016
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
openaire   +1 more source

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. Firstly, a primary iteration of SLIC approach is employed to generate uniform superpixels. Then an update strategy is
Zhifei Wei, Baolong Guo, Cheng Li, Zhijie Chen   +3 more
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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 entire execution time of image segmentation.
Razi J. Al-Azawi, Qussay S. Al-Jubouri, Yousra Abd Mohammed   +2 more
openaire   +1 more source

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. need an efficient video retrieval strategy.
Reddy Mounika Bommisetty, Ashish Khare, Manish Khare, P. Palanisamy   +3 more
openaire   +1 more source

KSLIC: K-mediods Clustering Based Simple Linear Iterative Clustering

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
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Fast Simple Linear Iterative Clustering by Early Candidate Cluster Elimination

2015
For superpixel segmentation, simple linear iterative clustering (SLIC) has attracted much attention due to its outstanding performance in terms of speed and accuracy. However, computational-efficiency challenge still remains for applying it to real-time applications. In this paper, by applying the Cauchy-Schwarz inequality, we derive a simple condition
Kang-Sun Choi, Ki-Won Oh
openaire   +1 more source

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

Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering

2016
This paper utilizes a supervoxel method called simple linear iterative clustering (SLIC) to parcellate whole brain into functional subunits using resting-state fMRI data. The parcellation algorithm is directly applied on the resting-state fMRI time series without feature extraction, and the parcellation is conducted on the individual subject level.
Jing Wang, Zilan Hu, Haixian Wang
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

Improved Simple Linear Iterative Clustering Algorithm Using HSL Color Space

2019
Image processing is a very important technical support in robotic vision. As a preprocessing step for image processing, superpixel segmentation is one of the significant branches of image segmentation. Simple linear iterative clustering (SLIC) algorithm, as a widely used superpixel segmentation algorithm, can help to deal with boundary adherence and ...
Fan Su, Hui Xu, Guodong Chen, Zhenhua Wang, Lining Sun, Zheng Wang   +5 more
openaire   +1 more source