基于力场转换理论的图像粗大边缘检测方法

基于粗大边缘的异源图像匹配在导航制导等领域具有广阔的应用前景,但是现有边缘检测方法很难提取出异源图像中的粗大边缘.根据异源图像成像原理和灰度分布特点,提出一种基于力场转换理论的异源图像粗大边缘检测新方法.首先,根据引力概念计算图像中各像素点受到合力的大小和方向;其次,为了去除光照和异源图像灰度不同的影响,对图像中像素点...

Image Edge Detection Algorithm Based on Force Field Transformation

Multi-modality image matching based on gross edges has a wide application prospect, but traditional edge detection algorithms are not able to extract good gross edge features. In this paper, a novel edge detection algorithm based on force field transformation is proposed according to the imaging principle and the gray distribution of multi-modality images. Firstly, the force field magnitude and direction of each pixel can be calculated by the concept of gravitational force. Secondly, in order to eliminate the impact of changeable illumination and the difference between gray distributions, the force field magnitude of each pixel is normalized. Then, the region of the edge can be obtained through binary processing of the normalized image. Finally, the properties of the force magnitude and the direction at the gross edge region are analyzed, and the gross edge detection method is proposed accordingly. Experimental results show that the proposed algorithm performs better than the traditional algorithms, and it performs better than the method of detecting the edge on segmenting images for ifrared (IR) image.