高质量图像处理软计算的比较研究与集成

Jagjit Singh, Divesh Kumar and Jeba Shalin Bhupend
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引用次数: 0

摘要

说明了各种软件计算工具在规划经济图像处理和分析系统中的应用价值。这些系统的实用性和可选择的集成方式,到目前为止,都是平方化的度量。任何分析和开发的范围都有打印。还提供了一个广泛的清单。软计算可能是一组协同工作的方法,并以一种或另一种方式提供用于处理现实世界中模棱两可的事物的通用信息科学功能。它的目标是容忍不精确、不确定性、近似推理和部分真理,从而实现易处理、鲁棒性、低分辨率价格和接近人类的高级认知过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison Study and Integration of Soft Computing for Quality Image Processing
The relevancy of desegregation the deserves of various soft computing tools for planning economical image process and analysis systems are explained. The practicability of such systems arid alternative ways of integration, up to now created, square measure delineate. Scope for any analysis and development is printed. AN extensive listing is also provided. Soft computing may be a pool of methodologies that work synergetically and provides, in one type or another, versatile information science capabilities for handling real-world ambiguous things. Its aim is to tolerate the imprecision, uncertainty, approximate reasoning and partial truth so as to achieve tractableness, robustness, low-resolution price, and shut likeness with human-like higher cognitive process.
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