A Blackboard Infrastructure for Object-based Image Interpretation
نویسندگان
چکیده
The paper presents a blackboard infrastructure for the development of object-based image interpretation applications. The infrastructure is based on an abstract deenition of important concepts in image interpretation: data objects, relationships, algorithms, strategies, and models. Building applications with the environment is eeectuated by specializing the abstract concepts. Using abstract concepts as a basis guarantees a high level of extensibility, exibility, and re-usability.
منابع مشابه
An intelligent visual task system for lateral skull X-ray images
This paper describes research into structured, knowledge-based image interpretation. An integrated framework has been developed, within which most tasks associated with the automatic interpretation and analysis of lateral skull X-ray images (cephalometry) can be performed. A model-based image analysis system makes use of a blackboard architecture and multiple knowledge sources. Its performance ...
متن کاملObject-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...
متن کاملUsing a Novel Concept of Potential Pixel Energy for Object Tracking
Abstract In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...
متن کاملAn Object-based Image Interpretation Application on Cloud Computing Infrastructure
The rapid increase in the number and in the spatial resolution of aerial and orbital Earth observation systems is generating a huge amount of remote sensing data that need to be readily transformed into useful information for policy and decision makers. A possible approach to tackle the demand for image interpretation tools that can deal efficiently with very large volumes of data is to employ ...
متن کاملContext Aware Multisensor Image Fusion for Military Sensor Networks using Multi Agent System
This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improved infrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink. The contexts such as general and critical object detection are node driven where as sensing time (such as day or night) is sink driven. The agencies used in the scheme are categorized as node and sink a...
متن کامل