Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

This is a preview. Log in through your library . Abstract Most segmentation algorithms are composed of several procedures: split and merge, small region elimination, boundary smoothing,..., each ...

Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality ...

Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Energy Exploration & Exploitation Vol. 35, No. 3, May 2017 Multi-component segmentation of X-ray co.

Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...