Implementation of Cardiac Image Segmentation using Histogram Group Quantization Method
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Abstract
The digital image processing has been applied in several areas, especially where it is necessary to use tools for feature extraction and
to get patterns of the studied images. In an initial stage, the segmentation is used to separate the image in parts that represents a interest object,
that may be used in a specific study. There are several methods that intends to perform such task, but is 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 work aims to presents an adaptable
segmentation method, that can be applied to different type of images, providing a better segmentation. The proposed method considers
techniques of group histogram quantization, to define the threshold.. The results are significant in comparison with those provided by one of the
best known segmentation methods.
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Keywords: cardiac images; segmentation; histogram quantization.
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