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基于CLIP模型的多元回归边缘检测
Multivariate Regression Edge Detection Based on CLIP Model
【摘要】 20世纪80年代中期由Jourlin和Pinoli提出的对数图像处理LIP模型颇具特色,该模型中的方法对低亮度图像敏感,并且对灰度有界图像的加法运算是封闭的,在边缘检测等方面有着其他方法所不具备的优点。该文基于灰度图像的对数图像处理LIP模型,建立了彩色图像的对数图像处理CLIP模型,并在此模型上进行了对彩色图像边缘检测技术的系统研究。首先,文章在彩色图像的红、绿、蓝、色彩、饱和度、明度以及灰度等各分量场上进行了CLIP模型上的边缘检测的研究,然后,在人机交互的边缘像素采样的基础上,用多元回归的方法,得出了对各分量进行加权组合时各分量的权重系数,再将其用于不同类型样品图像的边缘检测,得到了更理想的结果。
【Abstract】 In mid1980s,the Logarithmic Image Processing(LIP)model introduced by Jourilin and Pinoli is characteris-tic.Its methods are sensitive for lower intensity image,and its additive operation is closed for bounded image.It has the advantage the other method hasn’t.But to compare,edge detection study of color image is quite not enough.This paper develops CLIP model of color image based on LIP model of gray image,and makes edge detection in the components fields,and then using multivariate regression method in the model,and satisfying result is obtained.
【Key words】 Color image; Edge detection; CLIP model; Multivariate regression;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2004年04期
- 【分类号】TP391.41
- 【下载频次】102