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Medical Image Segmentation using Texture Information

Phuong Thao Cao; Thi Hong Hoa Nguyen
Medical image segmentation is an important step to extract an abnormalities regions such as tumor or lesion. This paper presents a segmentation method for medical image using texture information. The proposed method extracts the feature from gray level co-occurrence matrix. The filter then applied to extract area in the medical image that has specific matrix pattern. The method was tested on the MRI and CT images and the experiment results show the high accuracy of the method
Select Volume / Issues:
Year:
2019
Type of Publication:
Article
Keywords:
Medical Image Segmentation; Texture Analysis; Gray-Level Co-Occurrence Matrix
Journal:
IJECCE
Volume:
10
Number:
1
Pages:
32-37
Month:
January
ISSN:
2249-071X
Hits: 73

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