Optoelectronics Letters, Volume. 15, Issue 3, 231(2019)
High-dimensional features of adaptive superpixels for visually degraded images
[1] [1] Achanta Radhakrishna and S. Susstrunk, Superpixels and Polygons Using Simple Non-iterative Clustering, 2017 IEEE Conference on Computer Vision and Pattern Rec ognition (CVPR), 2017.
[2] [2] Giordano D., Murabito F., Palazzo S. and Spampinato C., Superpixel-based Video Object Segmentation Using Perceptual Organization and Location Prior, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
[3] [3] Liang X., Shen X., Feng J., Lin L. and Yan S., Semantic Object Parsing with Graph LSTM, European Conference on Computer Vision, 125 (2016).
[4] [4] D Yeo D., Son J., Han B. and Han J. H., Superpixel- based Tracking-by-Segmentation Using Markov Chains, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 .
[5] [5] Tang Youbao and Xiangqian Wu, Saliency Detection via Combining Region-level and Pixel-level Predictions with CNNs, European Conference on Computer Vision, Springer, Cham, 2016.
[6] [6] Stutz D, Hermans A and Leibe B, Superpixels: An Evaluation of the State-of-the-Art, Computer Vision and Image Understanding, 2017.
[7] [7] Liu M. Y., Tuzel O., Ramalingam S. and Chellappa R., Entropy Rate Superpixel Segmentation, 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
[8] [8] Van den Bergh M., Boix X., Roig G., de Capitani B. and Van Gool, Seeds: Superpixels Extracted via Energy- driven Sampling, European Conference on Computer Vision, Springer, Berlin, Heidelberg, 2012.
[9] [9] Shaji A., Smith K., Lucchi A., Fua P. and Susstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence 34, 2274 (2012).
[10] [10] Achanta Radhakrishna and Sabine Susstrunk, Superpixels and Polygons Using Simple Non-iterative Clustering, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017.
[11] [11] Jampani V., Sun D., Ming-Yu Liu, Ming-Hsuan Yang and Kautz J., Superpixel Sampling Networks, European Conference on Computer Vision, 2018.
[12] [12] Dhillon I S, Guan Y and Kulis B, IEEE Transactions on Pattern Analysis & Machine Intelligence 29, 1944 (2007).
[13] [13] Li Zhengqin and J. Chen, Superpixel Segmentation Using Linear Spectral Clustering, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
[14] [14] Shi Jianbo and Jitendra Malik, Normalized Cuts and Image Segmentation, Departmental Papers (CIS), 107 (2000).
[15] [15] Silberman N., Hoiem D., Kohli P. and Fergus R., Indoor Segmentation and Support Inference from RGBD Images, European Conference on Computer Vision Springer, Berlin, Heidelberg, 2012.
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LIAO Feng-feng, CAO Ke-ye, ZHANG Yu-xiang, LIU Sheng. High-dimensional features of adaptive superpixels for visually degraded images[J]. Optoelectronics Letters, 2019, 15(3): 231
Received: Jan. 20, 2019
Accepted: Mar. 18, 2019
Published Online: Jan. 7, 2020
The Author Email: Sheng LIU (edliu@zjut.edu.cn)