07-04-2011, 09:57 AM
Automatic Segmentation of Digital Images Applied In Cardiac Medical Images
Abstract:
In this project, at the initial stage, the the segmentation is used to separate the image in parts that represents an interest object, that may be used in a specific study. There are several methods that intend to perform such task, but are difficult to find a method that can easily adapt to different type of images, that often are very complex or specific. To resolve this problem, this project aims to presents an adaptable segmentation method that can be applied to different type of images, providing a better segmentation. The proposed method is based in a model of automatic multilevel thresholding and considers techniques of group histogram quantization, analysis of the histogram slope percentage and calculation of maximum entropy to define the threshold. The technique was applied to segment the cell core and potential rejection of tissue in myocardial images of biopsies from cardiac transplant. The results are significant in comparison with those provided by one of the best known segmentation methods available in the literature.
