PENGGABUNGAN FOTO UDARA MENGGUNAKAN ALGORITMA CASCADED FEATURE FROM ACCELERATED SEGMENT TEST (CASCADED FAST); IMAGE STITCHING USING CASCADED FEATURE FROM ACCELERATED SEGMENT TEST (CASCADED FAST) ALGORITHM

Augtantia, Helena Intan, R. Sumiharto

2015 | Skripsi | FMIPA

Aerial image stitching system using Cascaded FAST algorithm has a purpose to cover the weakness of image stitching. FAST corner method is used as a keypoints detector in the process of image stitching. This method produces a lot of unused keypoints of image stitching. OpenCV as digital image processing that worked under Linux platform is used in this study. Cascaded FAST find keypoints using three case pixel mask based on FAST corner detection method. Based on the overlap result, the minimum overlap area that can be done for image stitching is 10%. Based on the scale result, the minimum scale that can be done for image stitching is 67% and the maximum scale that can be done for image stitching is 131%. Based on the rotation result, the maximum rotation that can be done for image stitching is 24º clockwise and counter-clockwise.

Kata Kunci : image stitching; keypoints; Cascaded FAST; OpenCV