Multi-resolution, pattern-based segmentation of very large raster datasets

A Hybrid Method for Segmentation and Visualization of Teeth in Multi-Slice CT scan Images

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

Multi Resolution Fuzzy Segmentation of Satellite Images

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Concepts and System Architectures for the Management of Very Large Spatial Raster Objects in a Database Framework

The efficient management of very large spatial raster objects is becoming an important new feature of GeoInformation Systems. This paper investigates and summarises the main requirements that must be fulfilled by a spatial raster management solution. The investigations primarily focus on the management of very large raster mosaics, as a typical example for future requirements, both in terms of ...

Segmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC)

The segmentation of high resolution remote sensing images is one of the most important analyses that play a significant role in the maximal and exact extraction of information.  There are different types of segmentation methods among which using  superpixels is one of the most important ones. Several methods have been proposed for extracting superpixels. Among the most successful ones, we can r...