вейвлет-перетворення

This paper considers possible approaches to improving the quality of image signal formation both in the light and in the dark period of the day, as well as reducing the influence of noise, interference and artifacts on the characteristics of image signals. It is proposed to use the wavelet domain for the analysis of thermal and image signals with their subsequent possible complexation. The main features of the formation of such signals are indicated.

An article focuses on the development, research and implementation of algorithmic, hard- and software devices for controlling and diagnosing complex dynamic industrial objects. In the course of the research, the industrial object was selected, its main technical characteristics were determined, its base units were examined, and the most vulnerable sites were identified. There were the heaters of the heating zones, which correspond to the infra-frequency processes, and the bearings of the rolling gear reducer, which correspond to the high-frequency processes.

White light interferometry (WLI) is a non-contact measurement technique which is commonly used in determining the mechanical quantities such as geometric dimensions, position, and surface topography of the object. The main areas of use of the white light interferometers are micro- and nanotechnology, biomechanics, polymer chemistry, semiconductor equipment, and others. The measuring channel of optical interferometer includes the optical part and the computer unit.

In the research a method for segmentation of partially-blurred images using the wavelet transformation, particularly coiflet of the order L=3 is presented. The entropy is used as a segmentation criterion based on wallet transformation. K-means method is used for image segmentation. Developed method was tested and has shown good results of his work; it correctly performs more than 82 % of pixels of image, and in many individual cases, more than 90 %.