Improved artificial bee colony algorithm-based image registration method

Abstract

The invention discloses an improved artificial bee colony algorithm-based image registration method. The method includes the following steps that: (1) parameters to be optimized and a fitness function are determining, and a first generation artificial bee colony is initialized, so that an initial food source can be generated; (2) employed bees find adjacent food sources of the current food source, and select a food source between the current food source and the adjacent food sources through adopting a greedy method; (3) the employed bees share food source information with observation bees, and the observation bees calculate the fitness values of all the food sources; (4) the observation bees select food sources with small fitness values through utilizing a roulette algorithm, and perform secondary search for adjacent food sources through adopting difference strategies; (5) step (2) to step (5) are repeated until a maximum number of times of iteration is obtained; and (6) an optimal solution is outputted. With the improved artificial bee colony algorithm-based image registration method adopted, the process of image registration can be accelerated, and the accuracy of the image registration can be improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image registration method based on an improved artificial bee colony algorithm. Background technique [0002] With the continuous development of science and technology, people's ability to obtain images is constantly improving. The acquired images can generally be divided into two categories: single-mode images and multi-mode images. Single-mode images mostly refer to images obtained by using the same device, and multi-mode images mostly refer to images obtained by using different devices. Due to the obvious limitations of the data contained in single-mode images and the differences in geometry, spectrum, and resolution of multi-mode images, image fusion technology has emerged. Image fusion technology can combine multiple images obtained by different sensors or the same sensor, so as to achieve a more comprehensive and accurate understanding of the target. In image fusion pr...

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Problems solved by technology

[0004] In order to solve the above defects in the prior art, especially for the problem that the search space of the artificial bee colony algorithm in the second search stage is easily limited to a small area, the present invention provides an image registration method based on the improved artificial bee colony algorithm method to improve the global search capability

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