Abstract
Radio astronomy radio telescope plays the role of a linear operator, affecting the function that describes the object of research, formation of image of a monitored object. This paper presents methods for reconstruction and correction of solar radio images using the algorithm of rejections, the updated Weiner-filter, and the method CLEAN designed by Hegbomom (Pseudonym, 2009) for point sources. It is the process of numerical convolution in signal handling, an algorithm for separating weak-contrast formations on the solar which represents most points of the actual limb by using the ellipse equation. Consequently, the filling algorithm is applied by moving from the center to the ellipse points and filling each point by solar image data. Finally, a linear limb-darkening expression is used to remove the limb darkening. Different examples of the intermediate and final results are presented in addition to the developed algorithm.
Highlights
At the present day the problem of object detection on digital picture is very challenging due to rapid development of photo and video electronics
This presented work was to detect a cleaned solar disk as precisely as possible that could be used for different techniques of solar image analysis
Different tools were developed in this paper to achieve this goal initially by detecting the solar disk and removing the background spots by using linear exponential and logarithmic functions
Summary
At the present day the problem of object detection on digital picture is very challenging due to rapid development of photo and video electronics. Despite the fact that physical reality contains a lot of different objects the development of detection algorithm for a narrower class of objects—human faces—is of considerable interest [1]. This is due to the increasing degree of automation of various processes and production systems. The particular application of the algorithm of human faces detection may be as follows: automatic registration of visitor’s number in the supermarkets and entertainment [2]. The perspective problem to be solved is creation of fast and reliable algorithm of human faces detection
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