709 research outputs found
Biomimetic Design for Efficient Robotic Performance in Dynamic Aquatic Environments - Survey
This manuscript is a review over the published articles on edge detection. At first, it provides theoretical background, and then reviews wide range of methods of edge detection in different categorizes. The review also studies the relationship between categories, and presents evaluations regarding to their application, performance, and implementation. It was stated that the edge detection methods structurally are a combination of image smoothing and image differentiation plus a post-processing for edge labelling. The image smoothing involves filters that reduce the noise, regularize the numerical computation, and provide a parametric representation of the image that works as a mathematical microscope to analyze it in different scales and increase the accuracy and reliability of edge detection. The image differentiation provides information of intensity transition in the image that is necessary to represent the position and strength of the edges and their orientation. The edge labelling calls for post-processing to suppress the false edges, link the dispread ones, and produce a uniform contour of objects
From Conventional to Knowledge Based Geographical Information Systems
Artificial intelligence (Al) has received an explosion of interest during the last five years in
various fields. There is no longer any question that expert systems and neural networks will
be of central importance for developing the next generation of more intelligent geographic
information systems. Such knowledge based geographic information systems will especially
play a key role in spatial decision and policy analysis related to issues such as environmental
monitoring and management, land use planning, motor vehicle navigation and distribution
logistics. This paper sketches briefly the major characteristics of conventional geographic
information systems, and then looks at some of the potentials of Al principles and techniques
in a GIS environment where emphasis is laid on expert systems and artificial neural networks
technologies and techniques. (author's abstract)Series: Discussion Papers of the Institute for Economic Geography and GIScienc
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