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Aniket Phatak UNI: avp2110. ALIGNING A RAW IMAGE TO A REAL TIME COORDINATE SYSTEM On THE WEB. Image Search Engine Results now Focus on GIS image registration The Technique and its advantages Internal working Sample Results Applicable to other areas like face recognition etc. Future scope.
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Hence, present web search engines query the title or the metadata of the image to get results faster.
Adversarial attack is the huge problem associated with above technique
Hence, we need to devise some algorithm that can some significant pixels in image for image comparison
Focus now is on Web-based georeferencing.Current image search technique
Google Earth and corresponding maps.google.com has set high standards for all web applications and websites dealing with high resolution/high accuracy geographical feature content. It can be used using APIs.
Using Principal Component Analysis(PCA) technique, the most similar image from the database is selected.
Now some specific significant pixels named Control Point Pairs(CPPs) are selected for image registration automatically.
Next time, for image registration and georeferencing on any other server, we just need to pass these CPPs instead of whole image.Holistic view of process
Real World Map
Aligning a raw image with a real world map coordinate system.
Spatial datasets from different sources need to be accurately aligned geographically in order to be viewed or analyzed together
Georeferencing is one of the vital research areas of GIS data integration literature. Geospatial information needs to be extracted from multiple sources in a very consistent and precise way. The typical Georeferencing process includes:
Process by which an image is manipulated to increase the amount of information perceivable by the human eye.
Process of partitioning the image into non overlapping regions according to gray level, texture etc
Process of overlaying two or more images of the same scene taken at different times, from different from different view points.
Image Registration Algo
DATABASE REFRENCE IMAGE
Easily extended to other image matching applications like face recognition etc.
An image search engine can use this algorithm to avoid storing various copies of same image location.