Colour image segmentation techniques form a cornerstone in modern image processing, enabling the partitioning of digital images into distinct, meaningful regions. By utilising colour information ...
Segment anything is not always perfect: an investigation of SAM on different real-world applications
Researchers adopt everything mode to obtain SAM segmentations (right). The ground truth is masked with image for reference purpose (left). Best view is obtained when zooming in. Growing interest has ...
Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...
Iris recognition is catching up to other popular biometric applications, such as fingerprint and facial recognition, in worldwide usage. It’s a highly accurate technology because human iris patterns ...
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