A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images

Algorithm 1

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.