26-04-2018 дата публикации
Номер: US20180114313A1
Принадлежит:
A medical image segmentation method includes: step , initialize of the number of clusters and determine the initial values of the cluster centroids; step , calculate a Hausdorff distance between each cluster centroid and each pixel in the image; step , calculate a membership function of each pixel based on the Hausdorff distance and a Euclid distance between the cluster centroids and each pixel; step , calculate an objective function, cluster the pixels of the image based on the updated membership function, and update the centroid value; and repeating step -, until a difference between two objective function values is less than a threshold value. Then the membership function from the last iteration is a final segmentation. 1. A medical image segmentation method , which comprises the following processing steps:{'b': '1', 'step , initialize the number of clusters and determine the initial values of cluster centroids;'}{'b': '2', 'step , calculate a Hausdorff distance between each cluster centroid and each pixel in an image;'}{'b': '3', 'step , calculate a membership function of each pixel based on the Hausdorff distance and an Euclid distance between each cluster centroid and each pixel;'}{'b': '4', 'step , calculate an objective function, cluster the pixels of the image based on the membership function, and update the values of the cluster centroids; and'}{'b': 2', '4, 'repeat step -, until a difference between two objective function values is less than a threshold value, and then the membership function from the last iteration is a final segmentation.'}2. The medical image segmentation method as claimed in claim 1 , wherein the initial values of the cluster centroids are calculated by an image histogram where differences between each centroid are the same.3. The medical image segmentation method as claimed in claim 1 , wherein the step of calculating the Hausdorff distance between each cluster centroid and each image pixel comprises:select several neighbor regions ...
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