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PARALLEL ALGORITHM OF AREA OBJECT BOUNDARIES IDENTIFICATION

机译:区域对象边界识别的并行算法

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摘要

The task of choice and allocation of the area region's objects on the image, is well-known and in detail investigated, so on the basis of the developed theoretical recommendations there are also many programming decisions usually used in various spheres of a national economy: geology, a forestry, ecological monitoring etc. The transfering of existed and known algorithms and programs at the consecutive computers into the parallel computing architecture and the distributed computational structures for data processing becames the very actual problem. Geoinformation systems deal with allocation of the area objects at the aero-space images. The parallel analysis of area regions appears essentially more difficult, and results in necessity of identification of the objects. The mathematical aspects of the identification problem may be expressed in theorems of existence and uniqueness of identifying attributes for the given type of Decart's metrics.
机译:图像上区域对象的选择和分配任务是众所周知的,并且已进行了详细研究,因此,在发展的理论建议的基础上,通常在国民经济的各个领域也使用许多编程决策:地质学在连续的计算机上将现有的和已知的算法和程序转移到并行计算体系结构和用于数据处理的分布式计算结构中成为非常实际的问题。地理信息系统处理在航空图像上区域对象的分配。区域区域的并行分析似乎更加困难,并导致需要识别对象。识别问题的数学方面可以用给定类型的Decart度量的识别属性的存在性和唯一性定理来表达。

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