Dominant measurement and implicit measurement integrating multi-mode image registering method

Abstract

The invention discloses a dominant measurement and implicit measurement integrating multi-mode image registering method. The dominant measurement and implicit measurement integrating multi-mode image registering method is aimed to solve the problem of easiness in mismatching due to large initial error of a characteristic mapping-based image registering algorithm. The dominant measurement and implicit measurement integrating multi-mode image registering method includes that using mutual information as dominant measurement, using the particle swarm optimization to obtain initial image conversion parameters, and using the characteristic mapping-based registering algorithm to further optimize the parameters to obtain more precise image registering parameters after converting the image to be registered. In order to fasten the image registering speed and improve the registering precision, an image pyramid structure is used for performing layered optimization to solve. The dominant measurement and implicit measurement integrating multi-mode image registering method is suitable for multi-mode image registering, is capable of improving the image registering success rate and enables the image registering error to be reduced.

Description

technical field [0001] The invention belongs to the technical field of image registration, and relates to a multimodal image registration method integrating explicit metrics and implicit metrics. Background technique [0002] Image registration is the process of matching, aligning, and superimposing two or more images acquired at different times, from different sensors or from different perspectives. It is one of the key steps in many image processing and computer vision applications, including image fusion, image Stitching and visual servoing, etc. Commonly used transformation models for image registration include translation transformation, similarity transformation, affine transformation and perspective transformation. [0003] Due to the differences in the imaging mechanism of multimodal images, the grayscale correlation between the images to be registered is not strong, and it is difficult to obtain satisfactory registration results by using the cross-correlation coeff...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to improve the robustness of the multi-source image registration algorithm, and propose an image registration method that combines explicit metrics and implicit metrics, and adopts an image pyramid structure to obtain more accurate registration parameters step by step. Effectively solves the problem that the initial error of the image registration algorithm based on implicit metrics is too large and easily causes mismatching

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