Wavelet Analysis and Decomposition Into Color Spaces in Researching of Human Fluorescently Labeled Images Tissues

Abstract

The image of human fluorescently labeled tissues is taken as short view of the subject. These images are in RGB format. We must highlight areas of interest. In this case we use the ideology of wavelets. It allows us to find a lot of points of the brightness change in the original image. We get additional information, as well as decompose the input image into separate color spaces. This allows us to specify the areas of interest for the original image. The advantage of the original image decomposition into separate color spaces is clearly shown in comparison with the image in the RGB format. The results are received by using the real images.