Biomedical Image Recurrence Identification Using Image Registration Technique
Keywords:
Biomedical processing, image registration, image recurrenceAbstract
With the advancement of bio-medical engineering a major consent is rise due to the infective transformation of images. Such as MRI, CI, PET etc. does causing the eco-system of bio-medical engineering based diagnosis are major hit. Hence forth, these images transfer are predominately cause protocol insignificant in accurate diagnosis. Apparently the bio-medical research as now contended to the step for the ahead in research such as incorporating IOT, Telemedicine, Cloud Computing, and Big Data evaluation. These technologies cause the shift in bio-medical research. Hence, a demand of improvising the overall eco-system of bio-medical images enhancement is required. In this paper, a technique to define the image registration is proposed. The image registration assures the biomedical images are not repeated with the like and alike patterns. The technique has considered the angle and feature of RoI to collect and re-align the coordinates. The proposed technique is defined on a repeated angle detection and correlation alignment. The technique has gained higher order of accuracy and performance in detecting and optimizing the server space and processing time for larger datasets.
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Copyright (c) 2022 Afifa Salsabil Fathima, Manjunath S
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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