Results for Image segmentation

Publications & Outputs

1. FADNet: Greenhouse Identification with Fusion Attention Mechanism and Deformable Convolution

   Liu, J., Xu, X., Bilal, M. & Jiang, J., 1/04/2024, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, p. 7170 - 7178 8 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Object-Based Area-to-Point Regression Kriging for Pansharpening

   Zhang, Y., Atkinson, P. M., Ling, F., Foody, G. M., Wang, Q., Ge, Y., Li, X. & Du, Y., 31/10/2021, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 10, p. 8599-8614 16 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. An efficient skewed line segmentation technique for cursive script OCR

   Malik, S., Sajid, A., Ahmad, A., Almogren, A., Hayat, B., Awais, M. & Kim, K. H., 4/12/2020, In: Scientific Programming. 2020, 12 p., 8866041.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. Understanding the effect of confinement in scanning spreading resistance microscopy measurements

   Pandey, K., Paredis, K., Robson, A. J. & Vandervorst, W., 21/07/2020, In: Journal of Applied Physics. 128, 3, 11 p., 034303.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. Information-Based Hierarchical Planning for a Mobile Sensing Network in Environmental Mapping

   Li, T., Tong, K., Xia, M., Li, B. & De Silva, C. W., 1/06/2020, In: IEEE Systems Journal. 14, 2, p. 1692-1703 12 p., 8844270.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

   Williams, B., Borroni, D., Liu, R., Zhao, Y., Zhang, J., Lim, J., Ma, B., Romano, V., Qi, H., Ferdousi, M., Petropoulos, I., Ponirakis, G., Kaye, S., Malik, R., Alam, U. & Zheng, Y., 1/02/2020, In: Diabetologia. 63, 2, p. 419-430 12 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

7. GGM classifier with multi-scale line detectors for retinal vessel segmentation

   Khan, M. A. U., Khan, T. M., Naqvi, S. S. & Aurangzeb Khan, M., 1/11/2019, In: Signal, Image and Video Processing. 13, 8, p. 1667–1675 9 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

8. Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation

   Liu, Y., Shan, C., Gao, Q., Gao, X., Han, J. & Cui, R., 22/02/2019, In: Neurocomputing. 330, p. 465-482 18 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. Supercontinuum ultra-high resolution line-field OCT: Experimental spectrograph comparison and comparison with current clinical OCT systems by the imaging of a human cornea

   Lawman, S., Romano, V., Madden, P. W., Mason, S., Williams, B. M., Zheng, Y. & Shen, Y. C., 5/03/2018, 2nd Canterbury Conference on OCT with Emphasis on Broadband Optical Sources. Podoleanu, A. & Bang, O. (eds.). SPIE, 1059104. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10591).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

10. Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings

    Lawman, S., Williams, B. M., Zhang, J., Shen, Y. C. & Zheng, Y., 1/04/2017, In: Applied Sciences. 7, 4, 13 p., 351.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

11. Locating and quantifying gas emission sources using remotely obtained concentration data

    Hirst, B., Jonathan, P., González del Cueto, F., Randell, D. & Kosut, O., 2013, In: Atmospheric Environment. 74, p. 141-158 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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