Automatic detection of moving object from seqential telescope images using line detection algorithm

The aim of this thesis is to develop a computer program that uses the Line Detection Method (Chen T. and Chung K., 2001) to detect any moving object in a given series of sequential telescope images. The Line Detection Method is actually a mathematical technique developed to detect lines in digital images. This technique is applied to telescope images for the first time and used to detect the moving objects (asteroids, comets, etc.) in these images. Many telescope images are acquired during the night long observations of various objects in our solar system. In addition to those already being observed, these images may contain other known or unknown moving objects. To discover new objects and to refine the orbital parameters of previously identified objects, it is important that these images are processed with high speed to detect all moving objects in them. The detection of moving solar system objects from multi-frame telescope images can be time-consuming and require too much work power if one resorts to classical methods. With this proposed computer program, it will be possible to process any number of telescope images with high speed and identify the moving objects in them. The improved computer program allows you to quickly and easily move telescope images quickly. Multiple Image Line Detection (MILD) (Atay et al., 2016) has been prepared, which has never been applied to the analysis of telescope images before, will be utilized for detection and human interaction will be minimized during operation. The methods that are used in various stages of the program can be summarized in working order as follows: The images are subject to an optional pre-reduction step. The translational shifts due to tracking errors and the intensity differences due to atmospheric changes are corrected for each image. Most of the stationary objects (stars) and Moon or star related glowing effects will be eliminated from the images. The center coordinates of the remaining light sources (moving object candidates) are calculated using a center-of-light function determined by the intensity values of the pixels in the images. The coordinates of the real moving objects among all candidates are identified using MILD algorithm. All these steps are performed automatically. Since with this computer program using the MILD, the coordinates of the moving objects in the telescope images will be calculated automatically with high speed, the proposed program is expected to serve as an important tool to discover new objects. Detection of moving objects from archive images using classical methods is not iii cost-effective in terms of time and work power. With this program, we're expecting that such archive scans will become fast and automated.