Correction of non-uniform illumination for biological images using morphological operation assessing with statistical features quality
Other Title(s)
تصحيح الإضاءة غير المنتظمة للصور البيولوجية باستعمال عملية التشكيل رياضيات و التقييم بالخصائص الإحصائية للجودة
Joint Authors
Abbas, Layla Husayn
al-Amiri, Amal Husayn Abbas
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 29, Issue 2 (31 Aug. 2016), pp.81-90, 10 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2016-08-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Non Uniform Illumination biological image often leads to diminish structures and inhomogeneous intensities of the image.
Algorithm has been proposed using Morphological Operations different types of structuring elements including (dick, line, square and ball) with the same parameters of (15).To correct the non-uniform illumination and enhancement biological images, the non-uniform background illumination have been removed from image, using (contrast adjustment, histogram equalization and adaptive histogram equalization).
The used basic approach to extract the statistical features values from gray level of co-occurrence matrices (GLCM) can show the typical values for features content of biological images that can be in form of shape or specific features.
In this research, the application of gray level cooccurrence matrix (GLCM) statistical features correlation, contras, energy and Homogeneity have presented these features which have high accuracy and efficiently.
The color biological images had been used taken which is from microbiology laboratory at the Biological Department College of Science Al-MustansiriyhUniversity.
The algorithms have been applied on ten different biological color images, in this work only two images have been displayed.
American Psychological Association (APA)
Abbas, Layla Husayn& al-Amiri, Amal Husayn Abbas. 2016. Correction of non-uniform illumination for biological images using morphological operation assessing with statistical features quality. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 29, no. 2, pp.81-90.
https://search.emarefa.net/detail/BIM-745873
Modern Language Association (MLA)
Abbas, Layla Husayn& al-Amiri, Amal Husayn Abbas. Correction of non-uniform illumination for biological images using morphological operation assessing with statistical features quality. Ibn al-Haitham Journal for Pure and Applied Science Vol. 29, no. 2 (2016), pp.81-90.
https://search.emarefa.net/detail/BIM-745873
American Medical Association (AMA)
Abbas, Layla Husayn& al-Amiri, Amal Husayn Abbas. Correction of non-uniform illumination for biological images using morphological operation assessing with statistical features quality. Ibn al-Haitham Journal for Pure and Applied Science. 2016. Vol. 29, no. 2, pp.81-90.
https://search.emarefa.net/detail/BIM-745873
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 87-89
Record ID
BIM-745873