The approximating dependencies for the spatial characteristics of the intensity distribution of the wave beam in the registration plane are proposed. Was formulated algorithms for control the rotation of a profile without changing its structure, allowable tensile and compression deformities along selected directions. A three component multiplicative form for the ABCD matrix of the optical system-converter of the wave beam profile is discussed.
We propose a novel image segmentation method for immunofluorescence microscopy images of skin tissue for the diagnosis of various skin diseases. The segmentation is based on machine learning algorithms. The feature vector is filled by three groups of features: statistical features, Laws’ texture energy measures and local binary patterns. The images are preprocessed for better learning. Different machine learning algorithms have been used and the best results have been obtained with random forest algorithm. We use the proposed method to detect the epidermis region as a part of pemphigus diagnosis system.