| 5 | | The idea is to create complex image processing chain in OSSIM for underwater images using OSSIM python bindings. This includes adding python inteface for ossim apps like ossim-ipc ossim-image-compare etc. Use python gdal and pyOpenCV to solve image processing problems for under water images. The project also include geoferenencing videos captured UAV and create KLV file and visualize it in ossimPlanet using python.[[BR]] |
| 6 | | we have lot images captured from habcam instrument and all the parameters needs to do the processing raw tiff (ccd image), focal leght, camera distance from the ground, roll pitch, gain etc.. We need to build modules or base classes for processing it in OSSIM and reflect the changes in pyOSSIM. |
| | 5 | The idea is to create complex image processing chain using the OSSIM python bindings ''pyossim''. This includes adding python inteface for all the ossim-executables (ossim-igen, ossim-orthoigen, ossim-mosaic, ...). The work will add 'numpy-array' capabilities into pyossim as exchanging formast to include python-gdal and pyOpenCV to solve image processing problems for under water images processing (develop methods for : Bayer Demosaicing, Light detrend, color correction on raw tiff CCD images). [[BR]] |
| | 6 | |
| | 7 | For testing purpose, the WHOI (Woods Hole Oceanographic Institution) will provide raw CCD tiff images and relative metadata (focal leght, camera distance from the ground, roll, pitch, gain etc..) captured from [http://habcam.whoi.edu/ Habcam] [[BR]] |
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