Abstract
A technique of alignment and removal of noise is a prominent pre-processing part of biomedical image fusion. The purpose is to evaluate and analyze visually as well as parametric findings. However, considering practical execution still there is need for improvement in pre-processing for image processing applications. Therefore, the problem of blockage and variation in scans of patients, need to be overcome by properly align and denoise input images. Therefore to design the registration algorithm in such a way, it should cover all geometric motions of biomedical images, by which it is useful to the practitioner for the detection of medical defects. Herewith we have proposed a log-polar and phase correlation composite algorithm for the registration of all geometric motions. The proposed algorithm preserves the outline portion and surface information from the images, which yields perceptible effects. This will be useful in order to take out visual data from a noisy background. Since it is shown that the results with noisy and after denoised compared visually and also parametric analysis is carried out by calculating PSNR, MSE, contrast, structural content, entropy, etc
Highlights
Image registration is a process of mapping a sensed image with the reference image that shares common visual information such as medical images belonging to the similar object or images of the same scene obtained from different viewpoints, or at different time instances, or sensors. The objective of such mapping is to match image registration, which is quintessential in many image processing applications, that incorporates a number of images for the purpose of comparison, integration
To increase the effectiveness and robustness of the changes, we proposed the area based Log-Polar Transformer (LPT) method
This method again increases the computational load during the mapping process. This will motivate the success of area-based LPT –PC composite algorithm this will scale up the all the geometric motion
Summary
Image registration is a process of mapping a sensed image with the reference image that shares common visual information such as medical images belonging to the similar object or images of the same scene obtained from different viewpoints, or at different time instances, or sensors. For the registration of any medical image, the scaled mapping in terms of radius and angular direction is required. This is the main cause of increases the load on computation. To increase the effectiveness and robustness of the changes, we proposed the area based Log-Polar Transformer (LPT) method. This method again increases the computational load during the mapping process. This will motivate the success of area-based LPT –PC composite algorithm this will scale up the all the geometric motion.
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