Comparison of segmentation accuracy for different LUTs applied to digital mammograms

In this paper we try to compare usage of different image processing techniques applied to mammograms. Different imaging devices produce images with different properties, which can be determined by histogram comparison. Digital imaging devices store images according to the DICOM standard, but to view images properly, images need to be processed for displaying on a desired display. Linear grayscale transformation does not provide a good solution and therefore grayscale values are being converted using look-up-tables (LUTs). Once converted for optimal displaying, images suffer from a loss of details and sometimes information which could be useful for computer-aided detection (CAD) algorithms. In this paper we will compare segmentation accuracy of the breast tissue and nipple detection accuracy when using different image preprocessing techniques.