Research Article
A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images
Proposed_Algorithm (Input: Image from the dataset) | Read_image as | for to 5 | (, , , ) = two_dimensional_wavelet_decomp(). | = Histogram () | Obtain concatenated histogram of size , by concatenating five | histograms (, , , and ) obtained in Step . | Compute feature vector (of size ) = Probabilistic_principal_component_analysis | Input the feature vector as obtained in step into a KNN or ANN model for | classification of images. |
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