Image analysis

Dataflow management, dynamic load balancing, and concurrent processing for real-time embedded vision applications using Quasar

Programming modern embedded vision systems brings various challenges, due to the steep learning curve for programmers and the different characteristics of the devices. Quasar, a new high-level programming language and development environment, …

Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy

The twenty six papers in this special issue focus on the technologies of hyperspectral remote sensing (HRS)and imaging spectroscopy. HRS has emerged as a powerful tool to understand phenomena at local and global scales by virtue of imaging through a …

Accurate detection of dysmorphic nuclei using dynamic programming and supervised classification

A vast array of pathologies is typified by the presence of nuclei with an abnormal morphology. Dysmorphic nuclear phenotypes feature dramatic size changes or foldings, but also entail much subtler deviations such as nuclear protrusions called blebs. …

Imaging strategies and their effectiveness for wear analysis of polymer-steel pairs

In tribological investigations substantial developments were made in acquiring precise friction and wear data at micron scale (microNewton and microMeter). Such data are generated by automated new sensors, complemented by efficient data processing. …

Spatiogram features to characterize pearls and beads and other small ball-shaped objects in paintings

Channelized Hotelling observers for the assessment of volumetric imaging data sets

Current clinical practice is rapidly moving in the direction of volumetric imaging. For two-dimensional (2D) images, task-based medical image quality is often assessed using numerical model observers. For three-dimensional (3D) images, however, these …