Similarity Measures For Image Registration
Image similarities are broadly used in medical imaging. An image similarity measure quantifies the degree of similarity between intensity patterns in two images. The choice of an image similarity measure depends on the modality of the images to be registered. Common examples of image similarity measures include cross-correlation, mutual information, sum of squared intensity differences, and ratio image uniformity. 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 and ratio image uniformity are commonly used for registration of images in the same modality.
Read more about this topic: Image Registration, Algorithm Classification
Famous quotes containing the words similarity, measures and/or image:
“Incompatibility. In matrimony a similarity of tastes, particularly the taste for domination.”
—Ambrose Bierce (18421914)
“the dread
That how we live measures our own nature,
And at his age having no more to show
Than one hired box should make him pretty sure
He warranted no better,”
—Philip Larkin (19221985)
“Her image was my ensign: snows melted,
Hedges sprouted, the moon tenderly shone,
The owls trilled with tongues of nightingale.”
—Robert Graves (18951985)