Mathematical image processing by technical vision systems in real-time can be divided into two stages: pre-treatment (filtering, contrast, etc.) and final (alignment, visualization, navigation solution to the problem,...
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ISBN:
(纸本)9781509067428
Mathematical image processing by technical vision systems in real-time can be divided into two stages: pre-treatment (filtering, contrast, etc.) and final (alignment, visualization, navigation solution to the problem, etc.). These problems can be solved by many famous and specially developed methods with varying degrees of effectiveness. We propose a mathematical model and algorithm of automatic choice the most effective method at each stage of the image processing pipeline in relation to the current situation at its input.
The selection of an appropriate key search algorithm for a specific application field is an important issue in application systems development. This is because data retrieval is the most time-consuming part of many ap...
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The selection of an appropriate key search algorithm for a specific application field is an important issue in application systems development. This is because data retrieval is the most time-consuming part of many application programs. An automaticselection method for key search algorithms is presented in this paper. The methodology has been implemented in a system called KESE2 (KEy-SEarch ALgorithm selection). Key search algorithms are selected according to the user's requirements through interaction with KESE2 which bases its inferences on an evaluation table. This evaluation table contains values rating the performance of each key search algorithm for the different searching properties, or characteristics. The selection algorithm presented is based on step by step reduction of unsuitable key search algorithms and searching properties. The paper also proposes assistance facilities that consist of both a support function and a program synthesis function. Experimental results show that the appropriate key search algorithms are effectively selected, and that the necessary number of questions asked, to select the appropriate algorithm, is reduced to less than half of the total number of possible questions. The support function is useful for the user during the selection process and the program synthesis function fully translates a selected key search algorithm into high level language in an average of less than 1 hour.
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