基于Blob算法的多特征联合数字图像转换仿真  

Simulation of Multi-feature Joint Digital ImageC onversion Based on Blob Algorithm

作　　者：田宏伟[1] 王宜怀[2] 沈晓峰 TIAN Hong-wei;WANG Yi-huai;SHEN Xiao-feng(Applied Technology College of Soochow University,Kunshan Jiangsu 215325,China;School of Computer Science and Technology,Soochow University,Suzhou Jiangsu 215006,China)

机构地区：[1]苏州大学应用技术学院,江苏昆山215325 [2]苏州大学计算机科学与技术学院,江苏苏州215006

出　　处：《计算机仿真》2021年第12期465-469,共5页Computer Simulation

基　　金：国家自然科学基金(61472262)。

摘　　要：针对目前数字图像转换完整度和准确率低的问题,提出一种Blob算法的多特征联合数字图像转换方法。利用Blob算法划分数字图像特征,划分为运动可视目标、静止可视目标、阴影、鬼影、反射、背景噪声等多特征。将所划分数字图像多特征联合,令数字图像3D空间转化至2D"夹角-模差"空间降低数字图像维度,在低维度的数字图像2D"夹角-模差"空间中通过颜色空间转换方法实现RGB颜色空间与CMY或CMYK、YUV颜色空间的转换,为不同应用环境中的数字图像选择所需颜色空间提供基础。仿真结果表明,所设计方法可有效实现数字图像颜色空间转换,且转换完整率以及转换准确率较高。Due to the low integrity and accuracy of digital image conversion, a method of digital image conversion combining with multiple features based on Blob algorithm was proposed. At first, Blob algorithm was used to divide the digital image features into the moving visual targets, static visual target, shadow, ghost image, reflection, background noise and other features. By combining with the features of digital image, the 3 D space was transformed into the 2 D “included angle-modulus difference” space to reduce the dimension of digital image. In 2 D “included angle modulus difference” space of low-dimensional digital image, the RGB color space was transformed into CMY,CMYK and YUV color spaces through the color space conversion method to provide the color space for selecting the digital images in different application environments with basic. Simulation results show that the designed method can effectively achieve the conversion of color space of digital image. In addition, the integrity and accuracy of conversion are high.

关 键 词：多特征联合 数字图像 转换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]