DETECTION AND DISCRIMINATION OF ASTRONOMICAL OBJECTS USING GLOBAL AND LOCAL DETECTION METHODS: CASE OF SLOAN DIGITAL SKY SURVEY (SDSS) IMAGES WITH GRIZ-FILTERS
Image processing is very important for the advancement of science. With the image, humans can make observations so that science can develop. Therefore, image processing plays a major role in the development of science. One of the sciences that relies heavily on imagery is astronomy. One of the in...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/38637 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Image processing is very important for the advancement of science. With the
image, humans can make observations so that science can develop. Therefore,
image processing plays a major role in the development of science. One of the
sciences that relies heavily on imagery is astronomy. One of the interesting
things from the science of astronomical image processing today is how we
can detect an object from an image produced from a telescope or a camera
lens on a satellite. To process an astronomical image that has been obtained
and produce an information from that image, an algorithm is needed. In this
research will be shown how the algorithm to detect an object in astronomical
images can work even with conditions images that have high noise intensity
and various illuminations. The detection of objects in astronomical images
will be done using the global detection method and local detection method,
then followed by a discriminating step, so that objects that have been detected
in these astronomical images can be categorized according to their geometric
shapes. The image is obtained from the Sloan Digital Sky Survey (SDSS) using
the GRIZ-filter.
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