| Issue Date | Title | Author(s) |
| 2010 | Accelerated hardware video object segmentation: From foreground detection to connected components labelling | Appiah, K; Hunter, A; Dickinson, P; Meng, H |
| 8-Apr-2019 | Adaptive Morphological Reconstruction for Seeded Image Segmentation | Lei, T; Jia, X; Liu, T; Liu, S; Meng, H; Nandi, AK |
| 2021 | AI based Automated Detection, Measurement and Classification of Pits and Cracks on Rail Axles for Microscopic Visual Inspection in Non-Destructive Testing | Syeda, Juvaria Fatima |
| 23-Jul-2019 | Automatic Fuzzy Clustering Framework for Image Segmentation | Lei, T; Liu, P; Jia, X; Zhang, X; Meng, H; Nandi, AK |
| 2016 | Deep belief networks for quantitative analysis of a gold immunochromatographic strip | Zeng, N; Wang, Z; Zhang, H; Liu, W; Alsaadi, FE |
| 26-Nov-2020 | Fast and Automatic Image Segmentation Using Superpixel-Based Graph Clustering | Jia, X; Lei, T; Liu, P; Xue, D; Meng, H; Nandi, AK |
| 24-Feb-2020 | Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities | Shan, X; Gong, X; Ren, Y; Nandi, AK |
| 2014 | Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach | Zeng, N; Wang, Z; Zineddin, B; Li, Y; Du, M; Xiao, L; Liu, X; Young, T |
| 29-Jul-2021 | An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing | Tian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X |
| 2016 | Level set segmentation of retinal structures | Wang, Chuang |
| 2011 | Microarray image processing: A novel neural network framework | Zineddin, Bachar |
| 2014 | Segmentation of the blood vessels and optic disk in retinal images | Salazar-Gonzalez, A; Kaba, D; Li, Y; Liu, X |
| 23-Jan-2018 | Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering | Jia, X; Zhang, Y; He, L; Meng, H; Nandi, A |
| 2011 | Structure analysis and lesion detection from retinal fundus images | Salazar Gonzalez, Ana |
