A multi-level thresholding image segmentation method using hybrid Arithmetic Optimization and Harris Hawks Optimizer algorithms
L Qiao, K Liu, Y Xue, W Tang, T Salehnia - Expert Systems with …, 2024 - Elsevier
Today, image segmentation methods are widely used for various applications, including
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …
Dual Level Adaptive Weighting for Cloth-Changing Person Re-Identification
For the long-term person re-identification (ReID) task, pedestrians are likely to change
clothes, which poses a key challenge in overcoming drastic appearance variations caused …
clothes, which poses a key challenge in overcoming drastic appearance variations caused …
Composed image retrieval via cross relation network with hierarchical aggregation transformer
Composing Text and Image to Image Retrieval (CTI-IR) aims at finding the target image,
which matches the query image visually along with the query text semantically. However …
which matches the query image visually along with the query text semantically. However …
Dual Consistency-Constrained Learning for Unsupervised Visible-Infrared Person Re-Identification
Unsupervised visible-infrared person re-identification (US-VI-ReID) aims at learning a cross-
modality matching model under unsupervised conditions, which is an extremely important …
modality matching model under unsupervised conditions, which is an extremely important …
SketchTrans: Disentangled prototype learning with transformer for sketch-photo recognition
Matching hand-drawn sketches with photos (aka sketch-photo recognition or re-
identification) faces the information asymmetry challenge due to the abstract nature of the …
identification) faces the information asymmetry challenge due to the abstract nature of the …
An attention mechanism based avod network for 3d vehicle detection
With the continuous advancement of autonomous driving technology, 3D vehicle detection
has become of widespread interest. The traditional aggregate view object detection (AVOD) …
has become of widespread interest. The traditional aggregate view object detection (AVOD) …
An efficient medical image compression technique for telemedicine systems
R Monika, S Dhanalakshmi - Biomedical Signal Processing and Control, 2023 - Elsevier
The medical practitioners primarily used medical images to reveal abnormalities in the
internal critical organs and structures of body covered by the bones and the skin. Main …
internal critical organs and structures of body covered by the bones and the skin. Main …
A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems
Human biometric images are utilized for cell phone authentication, airport security, and
biometric passports. To improve the biometric identification process, this should be protected …
biometric passports. To improve the biometric identification process, this should be protected …
An advanced discrete‐time RNN for handling discrete time‐varying matrix inversion: Form model design to disturbance‐suppression analysis
Time‐varying matrix inversion is an important field of matrix research, and lots of research
achievements have been obtained. In the process of solving time‐varying matrix inversion …
achievements have been obtained. In the process of solving time‐varying matrix inversion …
Sddnet: Style-guided dual-layer disentanglement network for shadow detection
Despite significant progress in shadow detection, current methods still struggle with the
adverse impact of background color, which may lead to errors when shadows are present on …
adverse impact of background color, which may lead to errors when shadows are present on …