Fusion-based Medical Image Retrieval using Tamura and Wavelet features

In the last ten years, Content-based image retrieval (CBIR) is an emerging and challenging research area in medical image processing. The medical Image retrieval plays the accuracy of the retrieval process and further can be modified by a method that combines tamura and wavelet features in the retrieving process. The process is having calculation of distance between all the images and forms a matrix. The proposed method is projected as a process of CBIR in medical image processing with different statistical parameter calculations on different datasets. With the evidence of experimental results on medical images, the performance and effectiveness of the method is measured. The confusion matrix is evaluated in different views.