First Order Locally Orderless Registration
| Autor: | José D. T. Vidarte, François Lauze, Sune Darkner |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Similarity (geometry)
Scale (ratio) Computer science business.industry Image scale Image registration Pattern recognition 02 engineering and technology Mutual information First order Image density Image (mathematics) 03 medical and health sciences 0302 clinical medicine Computer Science::Computer Vision and Pattern Recognition 030220 oncology & carcinogenesis 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030755485 SSVM |
| Popis: | First Order Locally Orderless Registration (FLOR) is a scale-space framework for image density estimation used for defining image similarity, mainly for Image Registration. The Locally Orderless Registration framework was designed in principle to use zeroth-order information, providing image density estimates over three scales: image scale, intensity scale, and integration scale. We extend it to take first-order information into account and hint at higher-order information. We show how standard similarity measures extend into the framework. We study especially Sum of Squared Differences (SSD) and Normalized Cross-Correlation (NCC) but present the theory of how Normalised Mutual Information (NMI) can be included. |
| Databáze: | OpenAIRE |
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