基于小波变换和微分算子的图像边缘检测
崔夏荣[1] 陆爱萍[2]
[1]武夷学院电子工程系,福建武夷山354300 [2]福建信息职业技术学院,福建福州350003
摘 要:
本文提出了一种检测彩色图像边缘的新方法，该方法先把彩色图像分解为红、绿、蓝三基色图像，然后利用小波变换对三基色图像分别进行多尺度的分解，提取其低频系数，用微分算子检测其图像边缘，最后利用多通道信息融合的办法将三基色的图像边缘融合在一起。通过一个实验说明了该方法的有效性。[著者文摘]
文章出处:
《南平师专学报》-2007年26卷4期 -35-38页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1008-5963（2007）04-0033-04
相关文章:
The Image Edge Detection Based on Wavelet Transform and Differential Operator
CUI Xia-rong,LU Ai-ping（1 .Electronic Engineering Department of Wuyi College, Wuyishan, Fujian 354300, China; 2 .Fujian Polytechnic of Information Technology, Fuzhou, Fujian 350003, China）
Abstract:
In this paper, a new method is proposed to detect the edge of color image. Firstly, color image is separated to the three base color images of redness, greenness and blueness. Then the three base color images are decomposed respectively by wavelet transform with more scale, low frequency coefficients are extracted, and image edge is detected by differential operator. Finally, the edges of three base color images are integrated by the approach of the muhichannel information fusion. Validity to the method is also provided through a practical example.[著者文摘]
Key words:
wavelet transform;sobel operator;image edge detection;multichannel information fusion
基金资助:
福建省自然科学基金项目（A0640014）,武夷学院科研基金资助项目（XQL05012）
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