基于数据挖掘三维数字图像模糊增强系统设计

Design of 3D digital image sharpness enhancement system based on data mining

目前对于三维数字图像模糊增强使用的系统存在图像处理耗时过长的问题。为了解决此问题,设计基于数据挖掘三维数字图像模糊增强系统。设计系统整体框架包括电源模块、外围接口模块、核心处理模块以及存储模块。在整体框架基础上,使用ARM处理器,设计电源电路和外围接口电路,完成系统的框架搭建。利用数据挖掘技术对三维数字图像特征进行提取,并计算模糊特征值,通过模糊特征值和模糊隶属函数实现图像模糊增强,至此系统整体设计完成。测试结果表明,与传统的图像模糊增强系统相比,基于数据挖掘三维数字图像模糊增强系统的处理图像所耗时间缩短了25.86%,适合应用在三维数字图像增强中。

A 3D digital image sharpness enhancement system based on data mining is designed to reduce time consump tion of image processing of traditional image fuzzy enhancement system.The overall framework of the system is designed,which composed of power module,peripheral interface module,core processing module and storage module.On the basis of the overall framework,the power supply circuit and peripheral interface circuit are designed by using the ARM processor to complete the framework construction of the system.The 3D digital image features is extracted by using data mining technology,and the fuzzy feature value is calculated.The image sharpness enhancement is realized by means of the fuzzy feature value and fuzzy member ship function,and then the overall design of the system is completed.The system testing results show that,in comparison with the traditional image sharpness enhancement system,the time consumption of image processing of 3D digital image fuzzy en hancement system based on data mining is reduced by 25.86%,which is suitable for 3D digital image enhancement.