Exploration on Selection of Medical Images employing New Transformation Technique
Transformation model plays a vital role in medical image processing. This paper describes a new Transformation model (NTM) which is hybrid of linear and non linear Transformations techniques for the detection of tumor. In NTM, patient image is compared with reference images, which is block based. An image similarity measure quantifies the degree of similarity between intensity patterns in two images. The choice of an image similarity measure depends on the modality of the images to be registered. In this paper contrast checking, sum of squared intensity differences (SSD), calculation of white cells and point mapping are used.
Keywords: New Transformation model (NTM), Contrast checking, SSD, White cells, point mapping
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