Fusion of 2D grayscale images using multiscale morphology
作者:
Highlights:
•
摘要
A scheme for fusion of multi-sensor 2D images based on multiscale morphology is presented in this paper. A point-based registration, using affine transformation is performed prior to fusion. The scale-specific features are extracted from both the images using the morphological towers constructed in course of various types of multiscale filtering. Extracted features are combined to get the fused image. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and the error measure obtained by eigenvector fitting between the fused image and each of the constituting images.
论文关键词:Mathematical morphology,Multiscale morphology,Morphological towers,Registration,Fusion of images,Performance evaluation of fusion algorithm
论文评审过程:Received 29 January 1999, Accepted 20 July 2000, Available online 6 July 2001.
论文官网地址:https://doi.org/10.1016/S0031-3203(00)00123-0