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A Comparison of Superpixel Characteristics based on SLIC(Simple Linear Iterative Clustering) for Color Feature Spaces

机译：基于SLIC（简单线性迭代聚类）的Superpixel特性对彩色特征空间的比较

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Jeong Hwan Lee;
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年度 2014
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1. Walsh Hadamard Transform for Simple Linear Iterative Clustering (SLIC) Superpixel Based Spectral Clustering of Multimodal MRI Brain Tumor Segmentation [J] . Angulakshmi M., Priya G. G. Lakshmi Innovation and research in biomedical en . 2019,第5期

机译：基于Walsh Hadamard变换的基于多模态MRI脑肿瘤分割的简单线性迭代聚类（SLIC）超像素光谱聚类
2. Subsampling-based acceleration of simple linear iterative clustering for superpixel segmentation [J] . Kang-Sun Choi, Ki-Won Oh Computer vision and image understanding . 2016,第may期

机译：基于子采样的简单线性迭代聚类的超像素分割加速
3. Video superpixels generation through integration of curvelet transform and simple linear iterative clustering [J] . Bommisetty Reddy Mounika, Prakash Om, Khare Ashish Multimedia Tools and Applications . 2019,第17期

机译：通过集成Curvelet变换和简单的线性迭代聚类来生成视频超像素
4. IFT-SLIC: A General Framework for Superpixel Generation Based on Simple Linear Iterative Clustering and Image Foresting Transform [C] . Barreto Alexandre Eduardo, Shankar Chowdhury Ananda, Falcao Alexandre Xavier, SIBGRAPI Conference on Graphics, Patterns and Images . 2015

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5. Nonlinear Encoding MRI: Multi-slice and Oblique O-space Imaging, Null Space Imaging, and Pseudo-random O-space Imaging for Accelerated Parallel Imaging. [D] . Tam, Lick-Kong. 2013

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6. DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks [O] . Pouria Sadeghi-Tehran, Nicolas Virlet, Eva M. Ampe, -1

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8. A comparison of two methods of linearized characteristics for a simple unsteady flow [R] . Sullivan, Roger D 1952

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A Comparison of Superpixel Characteristics based on SLIC(Simple Linear Iterative Clustering) for Color Feature Spaces

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