Image registration with auto‐mapped control volumes

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چکیده

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Image registration with auto-mapped control volumes.

Many image registration algorithms rely on the use of homologous control points on the two input image sets to be registered. In reality, the interactive identification of the control points on both images is tedious, difficult, and often a source of error. We propose a two-step algorithm to automatically identify homologous regions that are used as a priori information during the image registr...

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Contourlet-Based Edge Extraction for Image Registration

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

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Control Point Assessment for Image Registration

This paper presents several extensions of the basic CPA algorithm. First we compare CPA to standard corner detection algorithms and then turn to the question of selecting control points with adequate dispersion since this is crucial for accurate registration. Two selection methods are proposed. The first consists of clustering the control points via the Lloyd algorithm followed by selecting the...

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ژورنال

عنوان ژورنال: Medical Physics

سال: 2006

ISSN: 0094-2405,2473-4209

DOI: 10.1118/1.2184440