AUTOMATIC LIVER SEGMENTATION WITH FILTERING AND MORPHOLOGICAL METHODS
Abstract
- The main contribution of this paper is automatic liver segmentation which is the important step of liver benign or malignant classification. Morphological based automatic liver segmentation algorithm is proposed to get better classification results. Two popular image enhancing methods such as image filtering and morphological methods are used. It is required to remove texts in images by enhancing with image filtering method which extracts all connected liver components. In this research, automatic liver segmentation has been conducted to enhance liver image by image filtering and morphological operations such as image opening, dilation and filling holes. Liver region is segmented from the(512*512) pixels abdominal CT liver images. This accuracy result is acceptable for liver segmentation.
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Year
- 2019
Author
-
Thida Pyone
Subject
- Physics
Publisher
- Myanmar Academy of Arts and Science (MAAS)