Similarity transformation parameters recovery based on Radon transform. Application in image registration and object recognition
作者：
Highlights：
• We define 2π-based Radon transform (RT) and motivate its use.
• We propose an algorithm to recover RST transforms using only RT.
• The algorithm is tested on images in real-world application (e.g. CT, MRI, etc.)
• This RST parameter recovery method is newly applied in object recognition.
• A new confusion matrix is designed to identify also a mislabeled class element.
摘要
Highlights•We define 2π-based Radon transform (RT) and motivate its use.•We propose an algorithm to recover RST transforms using only RT.•The algorithm is tested on images in real-world application (e.g. CT, MRI, etc.)•This RST parameter recovery method is newly applied in object recognition.•A new confusion matrix is designed to identify also a mislabeled class element.
论文关键词：Radon transform,2π-Based Radon transform,Rotation,Scaling and translation transforms,Parameters recovery algorithm,Additive image noise
论文评审过程：Received 20 February 2014, Revised 22 June 2014, Accepted 23 January 2015, Available online 2 February 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.017
