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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
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A robust simple linear iterative clustering algorithm
2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), 2017This 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 +3 more
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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.
null Kang-Sun Choi, null Ki-Won Oh
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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
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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
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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
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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
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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
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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 +3 more
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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 +3 more
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