Research Article
Estimation of Abnormal Cell Growth and MCG-Based Discriminative Feature Analysis of Histopathological Breast Images
Algorithm 1
Proposed algorithm: minimized cellular graph.
| Input: | | A: RGB image with dimension m n | | Output: | | G: Minimized graph | (1) | Start | (2) | Convert the input RGB image into Gray scale image: | | | (3) | Apply K-means segmentation | (4) | Obtained the segmented image is Seg | | | | | | If | | rk == p | | Seg = Segk | | End | (5) | Binarization: | | If | | Seg (:, :)> =t1 & Seg (:, :) ≤ t2 = 1 | | Else | | Seg (:, :) = 0 | | Here, t1 and t2 are the threshold values. | | End | (6) | Extract connected component: | | | (7) | Distance matrix creation from the extracted connected component: | | | (8) | | (9) | If ds > | | Extract the nodes with their coordinates. | (10) | G = Generate the graph with the extracted nodes | (11) | End |
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