Results 221 to 230 of about 34,853 (246)
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Multimedia Tools and Applications, 2019
Superpixel generation finds wide variety of applications in the field of image processing, particularly brain tumour detection, human body pose estimation, person re-identification as a pre-processing step. In this paper, we present a novel superpixel segmentation approach through integration of curvelet transform and conventional Simple Linear ...
Reddy Mounika Bommisetty +2 more
semanticscholar +3 more sources
Superpixel generation finds wide variety of applications in the field of image processing, particularly brain tumour detection, human body pose estimation, person re-identification as a pre-processing step. In this paper, we present a novel superpixel segmentation approach through integration of curvelet transform and conventional Simple Linear ...
Reddy Mounika Bommisetty +2 more
semanticscholar +3 more sources
Improved simple linear iterative clustering superpixels
2013 IEEE International Symposium on Consumer Electronics (ISCE), 2013The superpixels are small regions in an image which do not contain edges inside. Among all the superpixel algorithms, the simple linear iterative clustering (SLIC) method is widely adopted due to its practicality. However, the resultant superpixels sometimes do not well adhere to the edges.
Kwang-Shik Kim +3 more
semanticscholar +2 more sources
Seaweed Growth Detection in Aquaculture Environment Using Simple Linear Iterative Clustering Method
The 8th International Conference of Biotechnology, Environment and Engineering Sciences, 2020Estimating the total biomass of cultivates in aquaculture plantations (fisheries, mussel plants, seaweed farms and compound sites) remains to be an issue for the industry and the researchers alike.
Ç. Doğan
semanticscholar +2 more sources
Laser & Optoelectronics Progress, 2020
When using simple linear iterative clustering SLIC algorithm for super-pixel segmentation of remote sensing images there are problems of long running time and poor edge fitting Therefore a super-pixel segmentation algorithm of remote sensing image based ...
任欣磊 Ren Xinlei +1 more
semanticscholar +2 more sources
When using simple linear iterative clustering SLIC algorithm for super-pixel segmentation of remote sensing images there are problems of long running time and poor edge fitting Therefore a super-pixel segmentation algorithm of remote sensing image based ...
任欣磊 Ren Xinlei +1 more
semanticscholar +2 more sources
Fast simple linear iterative clustering for superpixel segmentation
2015 IEEE International Conference on Consumer Electronics (ICCE), 2015In this paper, a fast implementation of simple linear iterative clustering is presented. By exploiting spatial redundancy within natural images, we successfully reduce the number of distance calculation. It is confirmed that the proposed method runs about two times faster than the conventional method with almost same segmentation results.
Kang-Sun Choi, Ki-Won Oh
semanticscholar +2 more sources
Improved Simple Linear Iterative Clustering Algorithm Using HSL Color Space
International Conference on Intelligent Robotics and Applications, 2019Image 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 +5 more
semanticscholar +2 more sources
Subsampling-based acceleration of simple linear iterative clustering for superpixel segmentation
Computer Vision and Image Understanding, 2016An accelerated simple linear iterative clustering algorithm is proposed for real-time superpixel segmentation.High interpixel redundancy of images is exploited for effective prediction of the best segments.We show that the proposed algorithm boosts performance of SLIC up to five times.We show that the proposed algorithm produces almost the same ...
Kang-Sun Choi, Ki-Won Oh
semanticscholar +2 more sources
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering
International Conference on Neural Information Processing, 2016This 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, Z. Hu, Haixian Wang
semanticscholar +2 more sources
Textile Research Journal
In response to the challenge of detecting small foreign fibers mixed in cotton during picking and transportation, a segmentation method for identifying foreign fibers in cotton based on superpixel features and a support vector machine (SVM) is proposed ...
Shuhao Sun +4 more
semanticscholar +2 more sources
In response to the challenge of detecting small foreign fibers mixed in cotton during picking and transportation, a segmentation method for identifying foreign fibers in cotton based on superpixel features and a support vector machine (SVM) is proposed ...
Shuhao Sun +4 more
semanticscholar +2 more sources
Fast Simple Linear Iterative Clustering by Early Candidate Cluster Elimination
Iberian Conference on Pattern Recognition and Image Analysis, 2015For 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
semanticscholar +2 more sources