ABSTRACT
Image enhancement techniques are used for better view, analysis and interpretation of prepared photos. This is more important in analyzing CT scan images because there is just a range of gray colors in the photo. This chapter considers the most important image enhancement and segmentation techniques which are used for interpreting CT slices. These include presenting gray-level data of a CT photo, changing the brightness and contrast, various methods for object extraction (threshold, magic wand, binarization), producing images with pseudo colors, clustering of gray values, vectorizing, well-known types of filters (median, Gaussian), calculations on pixel values and their results and edge detection. Both original and filtered images are presented in most cases and therefore the reader can compare the results. Application of each technique is introduced and discussed in the image captions. Such as other chapters, sample information is presented beside the images. Some parts of the filtered images have been cropped and are presented with higher zoom for better view. Examples of CT images with high noise are also presented and explained, which enable the reader to distinguish the quality of the available slices.
