Results 1 to 10 of about 9,076 (191)

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
R. Achanta, Appu Shaji, Kevin Smith, Aurélien Lucchi, P. Fua, S. Süsstrunk   +5 more
semanticscholar   +3 more sources

Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The convolutional neural network (CNN) has a poor performance in nonuniform and edge regions due to the limitation of fixed receptive field. At the same time, feature stacking of input data can bring burden and overfitting to the network.
Ronghua Shang, Keyao Zhu, Jie Feng, Chao Wang, Licheng Jiao, Songhua Xu   +5 more
doaj   +2 more sources

Multiscale superpixel depth feature extraction for hyperspectral image classification [PDF]

Scientific Reports
Recently, superpixel segmentation has been widely employed in hyperspectral image (HSI) classification of remote sensing. However, the structures of land-covers in HSI commonly vary greatly, which makes it difficult to fully fit the boundaries of land ...
Qi Yan, Shuzhen Zhang, Xiang Chen, Ziyou Zheng   +3 more
doaj   +2 more sources

Color detection of printing based on improved superpixel segmentation algorithm [PDF]

Scientific Reports
We propose an improved superpixel segmentation algorithm based on visual saliency and color entropy for online color detection in printed products. This method addresses the issues of low accuracy and slow speed in detecting color deviations in print ...
Hongwu Zhan, Yuhao Shou, Lidu Wen, Fang Xu, Libin Zhang   +4 more
doaj   +2 more sources

Superpixel Sampling Networks [PDF]

European Conference on Computer Vision, 2018
Superpixels provide an efficient low/mid-level representation of image data, which greatly reduces the number of image primitives for subsequent vision tasks.
V. Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz   +4 more
semanticscholar   +3 more sources

Boundary-preserving superpixel segmentation

Journal of Applied Science and Engineering
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin, Zhao Li, Chenxun Yuan, Yi Liu   +3 more
doaj   +2 more sources

Joint superpixel and Transformer for high resolution remote sensing image classification [PDF]

Scientific Reports
Deep neural networks combined with superpixel segmentation have proven to be superior to high-resolution remote sensing image (HRI) classification. Currently, most HRI classification methods that combine deep learning and superpixel segmentation use ...
Guangpu Dang, Zhongan Mao, Tingyu Zhang, Tao Liu, Tao Wang, Liangzhi Li, Yu Gao, Runqing Tian, Kun Wang, Ling Han   +9 more
doaj   +2 more sources

Temporally Consistent Superpixels [PDF]

2013 IEEE International Conference on Computer Vision, 2013
Super pixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent super pixels for video content. The approach is based
Reso M., Jachalsky J., Rosenhahn B., Ostermann J.   +3 more
openaire   +2 more sources

Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2023
Hyperspectral images (HSIs) provide exceptional spatial and spectral resolution of a scene, crucial for various remote sensing applications. However, the high dimensionality, presence of noise and outliers, and the need for precise labels of HSIs present
Kangning Cui, R. Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, R. Plemmons, Raymond H. Chan   +7 more
semanticscholar   +1 more source

Superpixel Generation for SAR Imagery Based on Fast DBSCAN Clustering With Edge Penalty

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In this article, we propose an adaptive superpixel generation algorithm for synthetic aperture radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of applications with noise (DBSCAN) clustering and superpixel merging ...
Liang Zhang, Shengtao Lu, Canbin Hu, Deliang Xiang, Tao Liu, Yi Su   +5 more
doaj   +1 more source