Image Registration Based on MI and PSO Algorithm

Abstract

To improve the performance of image registration technology, a new method based on mutual information and PSO (Particle swarm optimization) is proposed in this paper. The MI (mutual Information) algorithm has been applied on image registration. The PSO algorithm is used to find the maximum MI. Compared the PSO and the POWELL algorithms, the results show that the PSO algorithm performs fairly well compared with the traditional algorithms.

Mutual Information Re-Registration of Sensitive Region in Forward-Looking Sonar Images Combined With Particle Swarm Optimization Algorithm

“…The criterion of image registration based on the result value is to find the maximum MI between the images as the result of registration [21]. The MI of two images reflects the mutual inclusion degree of information between them by their entropy and joint entropy [2] [22]. For images X and Y , the MI is expressed as follows:…”

“…The optimal search strategy is introduced to select the registration area C and complete the MI registration operation with sensitive region A, which can further improve the registration speed. The PSO algorithm is used to combine with the MI algorithm for initial registration [24] [25]. The flow chart is shown in Figure 8.…”

“…The former is the individual learning factor of each particle, and the latter is the social learning factor of each particle. ) 1 , 0 ( random is the random number on the interval [0,1], id P is the d-Dimension of the individual extremum of the ith variable, and gd P is the d-Dimension of the global optimal solution [25].…”

“…Image registration is a simultaneous interpreting process, which aligns two images collected at different times, different viewpoints, and different sensors or instruments in space [1] [2]. Image registration is widely used in many fields, such as medical disease diagnosis, remote sensing image processing, image fusion and search, machine vision, virtual reality, target recognition, environmental monitoring, image mosaic, security monitoring and geographic information system [3].…”