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Image processing Techniques for study of colon tumors samPles | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 3, 2017, Pages 310-320 | ||
| Authors | ||
| dad A- Kader; Ziacl M; ; Salah M- Ali | ||
| Abstract | ||
| In this research, we present many digital image processlng teaohings to a novel upp.ouih to thc aided analysis of digital image for colon Ju.rr", detection. We have the image (which is the study samples in the form of a finite thiclmess tissue sections on slide glass) by using the optical microscopic connect directly u'ith a computer by digital camera. First,usingasupervised-cross-correlation-testing(sccT) method is developed and used to differentiate between normal and abnormal tissue's irnug", of colon cancer, with measurement the mean and standard deviation of these samples' Second, making a comparison clepending on histogram and weightage of RGB iolors between normal and abnormal samples' | ||
| Keywords | ||
| corelation test; colon cancer recognition; computcr; aided diaguosis; histograrns; image processing | ||
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