Fingerprint image segmentation heavily influences the performance of fingerprint verification systems. In recent years, some new methods have been introduced to the image segmenting processing in ...

Hence, the number of segmented packets should therefore be minimized. In this paper we propose a novel rate-adaptive segmentation scheme (RAS), increasing the gap utilization while minimizing the ...

Superpixel segmentation algorithms constitute a crucial advancement in image processing and computer vision, ... and deep learning to enhance segmentation accuracy, adaptive region-merging, ...

RaySearch Laboratories AB (publ) is proud to announce its participation at AAPM in Washington, D.C., July 27-30, where state of the art innovations under the global campaign Coding Energy to End ...

The choice of the rule may be non-trivial, in particular in view of delivering a general-purpose segmentation algorithm. Adaptive strategies based on mixture models have been successfully used in ...

Further, the edge detection-based segmentation algorithm (Rosenfeld, 1981; ... “An adaptive edge-detection method based on the canny operator,” in Proceedings of the 2009 international conference on ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of ...

Recently, vision-language models (VLMs) have shown promise for domain-adaptive classification, but remain under-explored for domain-adaptive semantic segmentation (DASS). Existing language-guided DASS ...

An algorithm developed by an MIT professor could be applied to a modified Adaptive Cruise Control (ACC) system to help eliminate such traffic jams (Photo: Shutterstock) View 1 Image 1 / 1 ...