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Classification of breast tissue for Mammograms images using intensity histogram and statistical methods
Other Title(s)
تصنيف نسيج الثدي لصور Mammograms باستخدام histogram intensity و الطرق الإحصائية
Joint Authors
Sawadi, Isra Razzaq
Muzhir, Ala Nuri
Ali, Alya Husayn
Source
Issue
Vol. 53, Issue 4 (sup) (31 Dec. 2012), pp.1092-1096, 5 p.
Publisher
University of Baghdad College of Science
Publication Date
2012-12-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Physics
Information Technology and Computer Science
Abstract EN
In order to classify a image texture it must be segmented into a number of regions.
each region have the same properties.
a circular mask has been used.
after the required region is obtained a intensity histogram and then as set of histogram features has been calculated in order to classify the required images.
The statistical features of a mammogram are extracted using image processing techniques.
The extracted statistical features are the mean, standard deviation, smoothness, third moment uniformity and entropy for each of the histogram intensity and first order statistic a compare between the two results in order to obtain the best for classification the Breast tissue.
American Psychological Association (APA)
Ali, Alya Husayn& Muzhir, Ala Nuri& Sawadi, Isra Razzaq. 2012. Classification of breast tissue for Mammograms images using intensity histogram and statistical methods. Iraqi Journal of Science،Vol. 53, no. 4 (sup), pp.1092-1096.
https://search.emarefa.net/detail/BIM-955527
Modern Language Association (MLA)
Ali, Alya Husayn…[et al.]. Classification of breast tissue for Mammograms images using intensity histogram and statistical methods. Iraqi Journal of Science Vol. 53, no. 4 (Supplement) (Dec. 2012), pp.1092-1096.
https://search.emarefa.net/detail/BIM-955527
American Medical Association (AMA)
Ali, Alya Husayn& Muzhir, Ala Nuri& Sawadi, Isra Razzaq. Classification of breast tissue for Mammograms images using intensity histogram and statistical methods. Iraqi Journal of Science. 2012. Vol. 53, no. 4 (sup), pp.1092-1096.
https://search.emarefa.net/detail/BIM-955527
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1096
Record ID
BIM-955527