一种快速有效的彩色图像边缘检测方法

在传统的灰度图像的边缘检测算子的基础上,对其进行改进。充分利用了彩色图像的颜色信息,将算法从灰度空间转换到RGB颜色空间。提出了彩色图像的高斯-拉普拉斯边缘检测算子,同时采用滤波来抑制噪声以及非极大值抑制来细化边缘,算法简单易于实现。实验结果表明,算法能有效地提取出彩色图像的边缘信息。

Feature Point Detection Based on Color Image

Based on traditional methods for feature point detection of gray image,introduces a new idea to improve these algorithms which makes full use of color image.New algorithms can detect feature point form gray space to RGB color space.Gauss-Laplace detector for color image is introduced.Gaussian filter is used to remove the image noise,and non-max is restrained to make the edge thin.The experiment result shows that these algorithms can detect feature point efficiently.