Unsupervised Image Classification Technique for Lung Diseases Diagnosis using Fuzzy C-mean Clustering algorithm and Q-Matrix | ||
| Diyala Journal For Pure Science | ||
| Article 1, Volume 12, Issue 4, October 2016, Pages 25-38 | ||
| Author | ||
| Alyaa Hussein Ali | ||
| Abstract | ||
| The study aim to classify three x-ray lung images depending on the fuzzy c- mean classifier process and on the Q-matrix. The fuzzy c-mean (FCM) is unsupervised process helps to gather the pixel which carry the same features in one or in two classes. The Q-matrix is gray level matrix based on some features which may be used to help the user in identifying the identity of the texture. Also, Gabor texture features has been used to calculate the textural statistical features in this search five cases have been used which are ( Cancer, Echinococcosis, Lymphatic, Pneumonia, Tuberculosis). | ||
| Keywords | ||
| lung dieses; matrix; Gabor texture features; FCM; ray Images | ||
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