The comparison of algorithms on the CT image retrieval of Xinjiang local liver hydatid disease.
- Author:
Chuanbo YAN
1
;
Murat HAMIT
1
;
Li LI
1
;
Jianjun CHEN
1
;
Yahting HU
1
;
Dewei KONG
2
;
Jingjing ZHOU
1
Author Information
1. Medical College of Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China.
2. Image Center of the First Affiliated Hospital, Xinjiang Medical University, Urumqi 830054, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
China;
Databases, Factual;
Echinococcosis, Hepatic;
diagnostic imaging;
Humans;
Image Processing, Computer-Assisted;
methods;
Information Storage and Retrieval;
methods;
Tomography, X-Ray Computed;
methods
- From:
Journal of Biomedical Engineering
2013;30(5):942-945
- CountryChina
- Language:Chinese
-
Abstract:
Xinjiang local liver hydatid disease is an infectious parasitic disease in Xinjiang pastoral areas. Based on the image features, selecting the appropriate distance algorithms to retrieve the image quickly and accurately, different distance algorithms have been induced in this area, which can greatly assist the doctors to early detect, diagnose and cure the liver hydatid disease. This paper compared the performance of different distance algorithms to retrieve the image when using the liver hydatid disease medical image texture features. The results showed that: for the liver hydatid disease medical images retrieval based on gray level cocurrence matrix (GLCM) texture features, the Mahalanobis distance algorithm is superior to other distance algorithms.
