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Applied Computational Intelligence and Soft Computing

Applied Computational Intelligence and Soft Computing / 2017 / Article / Alg 1

Research Article

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.