An effective parallelization algorithm based on the compute-unified-device-architecture
(CUDA) is developed for DEM generalization that is critical to multi-scale terrain analysis. It …

Watershed delineation is one of the fundamental tasks in hydrological studies. Tools for
extracting watersheds from digital elevation models and flow direction rasters are commonly …

This paper presents real-time image processing applications using multicore and
multiprocessing technologies. To this end, parallel image segmentation was performed on …

In this paper, the high-performance processing of massive geospatial data on many-core
GPU (Graphic Processing Unit) is presented. We use CUDA (Compute Unified Device …

Many image processing applications rely on partitioning an image into disjoint regions
whose pixels are'similar.'The watershed and waterfall transforms are established …

Visual examination of blood smears is an essential tool for analysis, prevention, and
remediation of several types of maladies. The interest of computer-aided decision has been …

a detected MSER (typically comprised of one or more detected regions) is closed under
continuous geometric transformations and is invariant to affine intensity changes. See J …

Image Segmentations play a heavy role in areas such as computer vision and image
processing due to its broad usage and immense applications. Because of the large …

This paper presents real-time image processing applications using multicore and
multiprocessing technologies. To this end, parallel image segmentation was performed on …

Path Reducing Watershed for the GPU Page 1 Path Reducing Watershed for the GPU
Varduhi Yeghiazaryan Irina Voiculescu Department of Computer Science, University of …