The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties
Joint Authors
Yi, Dehui
Xia, Bingbing
Liu, Huiling
Jiang, Huiyan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-28
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We propose a new feature extraction method of liver pathological image based on multispatial mapping and statistical properties.
For liver pathological images of Hematein Eosin staining, the image of R and B channels can reflect the sensitivity of liver pathological images better, while the entropy space and Local Binary Pattern (LBP) space can reflect the texture features of the image better.
To obtain the more comprehensive information, we map liver pathological images to the entropy space, LBP space, R space, and B space.
The traditional Higher Order Local Autocorrelation Coefficients (HLAC) cannot reflect the overall information of the image, so we propose an average correction HLAC feature.
We calculate the statistical properties and the average gray value of pathological images and then update the current pixel value as the absolute value of the difference between the current pixel gray value and the average gray value, which can be more sensitive to the gray value changes of pathological images.
Lastly the HLAC template is used to calculate the features of the updated image.
The experiment results show that the improved features of the multispatial mapping have the better classification performance for the liver cancer.
American Psychological Association (APA)
Liu, Huiling& Jiang, Huiyan& Xia, Bingbing& Yi, Dehui. 2016. The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100210
Modern Language Association (MLA)
Liu, Huiling…[et al.]. The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1100210
American Medical Association (AMA)
Liu, Huiling& Jiang, Huiyan& Xia, Bingbing& Yi, Dehui. The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100210
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100210