Using the Fourier Transform Method to Segmentation Heart Images Using Techniques Image Processing

In the past fifteen years, magnetic resonance imaging (MRI) has become a reference examination for morphology, function, and injection in humans. However, due to the characteristics of MR images of the heart and due to the variability of images among patients, the issue of the segmentation of heart cavities in MRI has not yet been resolved. In this paper, using a MRI stage, the division carries a split in short-axis images. Medical history problems and special categorization related to these images are provided. For this very complicated division, previous information is required. We then propose a basic classification for cardiopulmonary differentiation methods, as well as a special emphasis on the level of external information needed and how to limit the division. In this paper, we perform MRI images of the heart using morphology mathematics and segmented segmentation techniques. After examining the principles of method and analyzing the results of division, we conclude with a discussion and future directions in this field on the subject of metrological and medical discussions.