摘要
稻米图像边界是阶梯型边界,在稻米图像的边缘检测中,利用模角分离的小波变换,结合尺度独立的算法提取了阶梯型边界,但得到的边缘图像存在边界不连续和边缘响应次数不唯一的问题。而小波变换的模极大值法检测出了所有类型的边界,其中包括不需要的边界。本文提出一种边缘检测方法,将尺度独立法与模极大值法的优点结合,在稻米图像的边缘检测中取得了理想的结果。
Rice image borders are step-structure. In the edge detection of rice image, we extract the step-structure boundary using modular-angle-separated wavelets transform combined with scale-independent algorithm. But some borders of the edge image is not continuous, and the number of edge response is not unique. The modulus maximum value of wavelet transform detect all types of boundary including unneeded boundary.The article presents an edge detection method which combines the advantage of scale independent method and modulus maximum value method, and get the desired results in the edge detection of rice image.
出处
《黑龙江八一农垦大学学报》
2009年第3期98-100,共3页
journal of heilongjiang bayi agricultural university
关键词
小波变换
图像融合
边缘检测
Wavelet transform
image fusion
edge detection
