论文:2012,Vol:30,Issue(6):919-925
引用本文:
樊养余, 雷涛, 张辰锐, 黄炎辉. 基于自适应矢量参数的彩色图像梯度计算方法[J]. 西北工业大学
Fan Yangyu, Lei Tao, Zhang Chenrui, Huang Yanhui. A New Method for Calculating Color Image Gradient with Adaptive Vector Parameters[J]. Northwestern polytechnical university

基于自适应矢量参数的彩色图像梯度计算方法
樊养余1, 雷涛1,2, 张辰锐1, 黄炎辉1
1. 西北工业大学 电子信息学院, 陕西 西安 710072;
2. 兰州交通大学 电子与信息工程学院, 甘肃 兰州 730070
摘要:
由于灰度图像梯度计算方法难以直接推广到彩色图像梯度计算中,提出了一种基于自适应矢量参数的彩色图像梯度计算方法。该方法在HSV彩色空间内利用空间矢量求导方法计算彩色图像梯度,并结合彩色图像直方图均方误差得到HSV三分量的矢量参数,从而实现基于自适应矢量参数的彩色图像梯度计算方法。该方法解决了传统彩色图像梯度计算方法难以获取图像的细节梯度信息的问题,以及现有的彩色图像梯度计算方法不够稳定,普适性差的问题。实验结果表明,针对多种不同类型的彩色图像,该方法均能得到较好的梯度图像,较传统的方法获得更多的图像细节。
关键词:    矢量参数    彩色图像梯度    HSV彩色空间    鲁棒性   
A New Method for Calculating Color Image Gradient with Adaptive Vector Parameters
Fan Yangyu1, Lei Tao1,2, Zhang Chenrui1, Huang Yanhui1
1. Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
2. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Abstract:
To our knowledge, it is difficult to directly extend the grayscale image gradient calculation method to col-or image processing. Hence, we propose the color image gradient calculation method mentioned in the title. Its coreconsists of: (1) we calculate the color image gradient with the spatial vector derivative in the hue,saturation,val-ue (HSV) color space; (2) e use the ratio difference of the three components of HSV in different types of imageand the mean-square error of the color image histogram to determine the sizes of their three vector parameters andobtain a new gradient calculation formula as given in eq. (16). Our new method overcomes the difficulties of thetraditional color image gradient calculation methods in obtaining an image's detailed gradient information and thelow robustness and poor universality of the existing color image gradient calculation method. The simulation results,given in Figs. 6 and 7,and their analysis show preliminarily that our method can obtain rather good gradient colorimages and more detailed gradients than the traditional image gradient calculation methods,thus being suitable forvarious types of color image.
Key words:    color image processing    gradient methods;HSV color space    robustness    spatial vector derivative   
收稿日期: 2011-12-08     修回日期:
DOI:
基金项目: 国家自然科学基金(61202314、61261029、60903127);中国博士后科学基金(2012M521801)资助
通讯作者:     Email:
作者简介: 樊养余(1984-),西北工业大学教授、博士生导师,主要从事信号处理、模式识别及虚似现实等的研究。
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