In this paper, a robust non-rigid multimodal image registration method is proposed using the local phase coherence representation (LPCR) as well as the residual complexity (RC) similarity measure. By integrating the LPCR and RC measure, we can find and track the non-rigid transformation of each pixel under diffeomorphism between the source and target images. Experiments using multimodal images are conducted to demonstrate the advantages of the proposed method
Image registration is the process of estimating the optimal transformation that aligns different ima...
This work presents a novel method for multimodal medical registration based on histogram estimation ...
Multimodal image registration method based on feature matching can't satisfy the demands of pixel le...
In this paper, a robust non-rigid multimodal image registration method is proposed using the local p...
The major challenges in automatic multi-sensor image registration are the inconsistency in intensity...
This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The...
AbstractIn this paper, we present a new methodology for multimodal non-rigid medical image registrat...
This paper presents a novel non-rigid multimodal registration method that relies on three basic step...
International audienceIn this paper we propose a method for locally adjusted optical flow-based regi...
A new approach of multi-modal medical image registration is proposed to overcome the drawbacks of mu...
In this paper, a new multi-modal non-rigid registration technique for medical images is presented. F...
Automatic multi-modal image registration is central to numerous tasks in medical imaging today and h...
The primary goal of this dissertation is to develop point-based rigid and non-rigid image registrati...
Non-rigid multi-modal image registration plays an important role in medical image processing and ana...
n this paper we present a novel hybrid approach for multimodal medical image registration based on d...
Image registration is the process of estimating the optimal transformation that aligns different ima...
This work presents a novel method for multimodal medical registration based on histogram estimation ...
Multimodal image registration method based on feature matching can't satisfy the demands of pixel le...
In this paper, a robust non-rigid multimodal image registration method is proposed using the local p...
The major challenges in automatic multi-sensor image registration are the inconsistency in intensity...
This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The...
AbstractIn this paper, we present a new methodology for multimodal non-rigid medical image registrat...
This paper presents a novel non-rigid multimodal registration method that relies on three basic step...
International audienceIn this paper we propose a method for locally adjusted optical flow-based regi...
A new approach of multi-modal medical image registration is proposed to overcome the drawbacks of mu...
In this paper, a new multi-modal non-rigid registration technique for medical images is presented. F...
Automatic multi-modal image registration is central to numerous tasks in medical imaging today and h...
The primary goal of this dissertation is to develop point-based rigid and non-rigid image registrati...
Non-rigid multi-modal image registration plays an important role in medical image processing and ana...
n this paper we present a novel hybrid approach for multimodal medical image registration based on d...
Image registration is the process of estimating the optimal transformation that aligns different ima...
This work presents a novel method for multimodal medical registration based on histogram estimation ...
Multimodal image registration method based on feature matching can't satisfy the demands of pixel le...