Segmentation of astronomical images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00222255" target="_blank" >RIV/68407700:21230/14:00222255 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22340/14:43897284
Result on the web
<a href="http://dx.doi.org/10.1117/12.2062009" target="_blank" >http://dx.doi.org/10.1117/12.2062009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2062009" target="_blank" >10.1117/12.2062009</a>

Result language
angličtina
Original language name
Segmentation of astronomical images
Original language description
Object detection is one of the most important procedures in astronomical imaging. This paper deals with segmentation of astronomical images based on random forrest classifier. We consider astronomical image data acquired using a photometric system with B, V, R and I filters. Each image is acquired in more realizations. All image realizations are corrected using master dark frame and master flat field obtained as an average of hundreds of images. Then a profile photometry is applied to find possible position of stars. The classifier is trained by B, V, R and I image vectors. Training samples are defined by user using ellipsoidal regions (20 selections for both classes: object, background). A number of objects and their positions are compared with astronomical object catalogue using Euclidean distance. We can conclude that the performance of the presented technique is fully comparable to other SoA algorithms.
Czech name
—
Czech description
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Project
<a href="/en/project/GA14-25251S" target="_blank" >GA14-25251S: Nonlinear imaging systems with spatially variant point spread function</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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