SISTEM PENTAUTAN FOTO UDARA MENGGUNAKAN DETEKSI FITUR ALGORITMA ORIENTED FAST AND ROTATED BRIEF; AERIAL PHOTOS STITCHING SYSTEM BASED ON ORIENTED FAST AND ROTATED BRIEF FEATURE DETECTION ALGORITHM
Astuti, Rohmi D, N
2015 | Skripsi | FMIPAAerial photographs that represent a region has been widely used in various fields with different needs. Photos used because it can show the state of the region broadly so that an aerial photograph with good quality and also widespread that the state of the region can be seen clearly. Image stitching needed to get a picture with a wider visibility with good quality photos. Various methods are used in the process of merging this aerial photographs, one of which is oriented FAST and Rotated BRIEF. ORB used in image stitching stage in the process of detection and extraction of keypoints that are characteristic of an image to be combined. The first step in the process is the conversion of images into grayscale, then detected and extracted keypoints so that the resulting keypoints and their information. Result from the extraction then matched using Flann. RANSAC homography is used to search the pattern matrix as well as the elimination of incompatibility keypoints. The pattern of results is then used in the process of warping photos. Stage process of image stitching utilize OpenCV library by calling the functions of these stages in the program. Photos stitching system tested on some changes in the state of the input picture to see how big the robustness of the system in combining photos. Tests performed include testing against how large overlapped between the images, rotation, and scale. From the test results obtained from testing the minimum overlapped is 20%. In testing the angle changes throughout the system is able to combine the photo angle changes because of resistance to the rotation system. In testing the scale, the smallest value that can be combined is 40% and the largest scale that can be combined is 170% of the original photo in order to obtain maximum results photo.
Kata Kunci : aerial photography; image stitching; keypoints; ORB