Guihua Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Guihua Wang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Dongming Lu
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
1 shared publication - Jiangyun Tan
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
1 shared publication - Longyin Teng
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
1 shared publication - Mengke Wang
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
1 shared publication - Zechen Tian
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
1 shared publication
Latest Publications
- Open Access
Infrared Bilateral Polarity Ship Detection in Complex Maritime Scenarios
In complex maritime scenarios where the grayscale polarity of ships is unknown, existing infrared ship detection methods may struggle to accurately detect ships among significant interference. To address this issue, this paper first proposes an infrared image smoothing method composed of Grayscale Morphological Reconstruction (GMR) and a Relative Total Variation (RTV). Additionally, a detection method considering the grayscale uniformity of ships and integrating shape and spatiotemporal features is established for detecting bright and dark ships in complex maritime scenarios. Initially, the input infrared images undergo opening (closing)-based GMR to preserve dark (bright) blobs with the opposite suppressed, followed by smoothing the image with the relative total variation model to reduce clutter and enhance the contrast of the ship. Subsequently, Maximally Stable Extremal Regions (MSER) are extracted from the smoothed image as candidate targets, and the results from the bright and dark channels are merged. Shape features are then utilized to eliminate clutter interference, yielding single-frame detection results. Finally, leveraging the stability of ships and the fluctuation of clutter, true targets are preserved through a multi-frame matching strategy. Experimental results demonstrate that the proposed method outperforms ITDBE, MRMF, and TFMSER in seven image sequences, achieving accurate and effective detection of both bright and dark polarity ship targets.
Open AccessInfrared Bilateral Polarity Ship Detection in Complex Maritime Scenarios
In complex maritime scenarios where the grayscale polarity of ships is unknown, existing infrared ship detection methods may struggle to accurately detect ships among significant interference. To address this issue, this paper first proposes an infrared image smoothing method composed of Grayscale Morphological Reconstruction (GMR) and a Relative Total Variation (RTV). Additionally, a detection method considering the grayscale uniformity of ships and integrating shape and spatiotemporal features is established for detecting bright and dark ships in complex maritime scenarios. Initially, the input infrared images undergo opening (closing)-based GMR to preserve dark (bright) blobs with the opposite suppressed, followed by smoothing the image with the relative total variation model to reduce clutter and enhance the contrast of the ship. Subsequently, Maximally Stable Extremal Regions (MSER) are extracted from the smoothed image as candidate targets, and the results from the bright and dark channels are merged. Shape features are then utilized to eliminate clutter interference, yielding single-frame detection results. Finally, leveraging the stability of ships and the fluctuation of clutter, true targets are preserved through a multi-frame matching strategy. Experimental results demonstrate that the proposed method outperforms ITDBE, MRMF, and TFMSER in seven image sequences, achieving accurate and effective detection of both bright and dark polarity ship targets.