摘要
给出一种结合小波变换和Canny算子的基于数学形态学的组合边缘检测算法。利用小波变换对原始图像进行去噪和增强,突出对象的轮廓;利用Canny算子完成边缘的初步检测;引入数学形态学中闭合运算对单纯利用微分算子检测边界存在的断裂边缘进行填充和修复,去除图像处理过程产生的噪声,使结果清晰、平滑。该算法利用MatLab软件进行仿真,结果证明该算法可有效抑制噪声,提高边缘检测精度,是一种有效的图像边缘提取算法。
Proposes a new edge detection algorithm based on mathematical morphology combining with wavelet transform, canny operation together. Uses wavelet transform to preprocess the image, uses the Canny operation is used to complete the preliminary edge detection. To solve the problem of boundary fault and fuzzy issue, uses the closure compute of mathematical morphology to fill and repair the edge fracture. The whole process was simulated in MatLab. Experiment results show the detected edge is clear and smooth, it is an effective algorithm to extract image edge, improving the detection accuracy and suppressing the noise.
出处
《现代计算机》
2008年第2期40-43,共4页
Modern Computer
关键词
边缘检测
小波变换
CANNY算子
数学形态学
闭合运算
Edge Detection
Wavelet Transform
Canny Operator, Mathematical Morphology
Closure Compute
