Abstract: 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.

Key words: multi-modality image, edge detection, force field transformation, force field magnitude, force field direction