Area based co-registration of two or more images is typically based on maximisation of the correlation coefficient (CC) similarity measure. The authors investigate two 'nonconventional' area based similarity measures and develop a procedure for optimising their computational efficiency. The result is a computational advantage over the CC method of 2M, where M is the size of the co-registration parameter value search space. An experimental study involving radar image pairs is also included
Mutual information (MI) is one of the most popular and widely used similarity measures in image regi...
International audienceThis paper investigates the problem of measuring similarity between multimodal...
International audienceMany similarity measures (SMs) were proposed to measure the similarity between...
This paper outlines further tests of the automatic image-to-image registration technique of Bunting ...
Abstract Similarity measures for non-rigid multimodal registration are required to be local in order...
Measuring the similarity between different images is essen-tial for performing registration (alignme...
International audienceThis paper deals with the problem of measuring similarity between visual and r...
Incorporating spatial features with mutual information (MI) has demonstrated superior image registra...
An experimental analysis of a number of image registration techniques is described. The objective is...
<p><strong>Abstract:</strong> Image registration (IR) is the systematic process of aligning two imag...
Image registration is an important topic for many imaging systems and computer vision applications. ...
Abstract. Mutual information has been widely used in image registration as an effective similarity m...
International audienceThis paper investigates performance characteristics of similarity measures (SM...
Automatic image registration (AIR) is still a present challenge regarding remote sensing application...
The main objective of image registration is to match two or more images captured at different times ...
Mutual information (MI) is one of the most popular and widely used similarity measures in image regi...
International audienceThis paper investigates the problem of measuring similarity between multimodal...
International audienceMany similarity measures (SMs) were proposed to measure the similarity between...
This paper outlines further tests of the automatic image-to-image registration technique of Bunting ...
Abstract Similarity measures for non-rigid multimodal registration are required to be local in order...
Measuring the similarity between different images is essen-tial for performing registration (alignme...
International audienceThis paper deals with the problem of measuring similarity between visual and r...
Incorporating spatial features with mutual information (MI) has demonstrated superior image registra...
An experimental analysis of a number of image registration techniques is described. The objective is...
<p><strong>Abstract:</strong> Image registration (IR) is the systematic process of aligning two imag...
Image registration is an important topic for many imaging systems and computer vision applications. ...
Abstract. Mutual information has been widely used in image registration as an effective similarity m...
International audienceThis paper investigates performance characteristics of similarity measures (SM...
Automatic image registration (AIR) is still a present challenge regarding remote sensing application...
The main objective of image registration is to match two or more images captured at different times ...
Mutual information (MI) is one of the most popular and widely used similarity measures in image regi...
International audienceThis paper investigates the problem of measuring similarity between multimodal...
International audienceMany similarity measures (SMs) were proposed to measure the similarity between...