Spatial vs.frequency domain methods Spatial methods operate in the image domain, matching intensity patterns or features in images. Frequency-domain methods find the transformation parameters for registration of the images while working in the transform domain. 16
Spatial vs. frequency domain methods Spatial methods operate in the image domain, matching intensity patterns or features in images. Frequency-domain methods find the transformation parameters for registration of the images while working in the transform domain. 16 UESTC-RSIP
Single-vs.multi-modality methods Single-modality methods tend to register images in the same modality acquired by the same scanner/sensor type,while multi-modality registration methods tended to register images acquired by different scanner/sensor types. 17
Single- vs. multi-modality methods Single-modality methods tend to register images in the same modality acquired by the same scanner/sensor type, while multi-modality registration methods tended to register images acquired by different scanner/sensor types. 17 UESTC-RSIP
Similarity measures for image registration An image similarity measure quantifies the degree of similarity between intensity patterns in two images. Common examples of image similarity measures include cross-correlation,mutual information,and sum of squared intensity differences. 18
Similarity measures for image registration An image similarity measure quantifies the degree of similarity between intensity patterns in two images. Common examples of image similarity measures include cross-correlation, mutual information, and sum of squared intensity differences. 18 UESTC-RSIP
Mutual information and normalized mutual information are the most popular image similarity measures for registration of multimodality images. Cross-correlation,sum of squared intensity differences are commonly used for registration of images in the same modality. 19
Mutual information and normalized mutual information are the most popular image similarity measures for registration of multimodality images. Cross-correlation, sum of squared intensity differences are commonly used for registration of images in the same modality. 19 UESTC-RSIP
区域相关 NXN S T C,=之2ISe W m=1n=1 20
20 区域相关 , , 1 1 N N i j mn i m j n m n C TS T S N×N UESTC-RSIP