Files
Abstract
The object-based image matching algorithms have been widely used in the image processing and computer vision fields. A variety of applications based on image matching algorithms have been recently developed for object recognition, 3D modeling, video tracking, and biomedical informatics. One prominent example of image matching features is the Scale Invariant Feature Transform (SIFT) scheme. In this thesis work, we initially investigated using SIFT algorithms to identify and match objects in biomedical images based on the recently released iPad 2 platform. The major methodological contribution of this work is leveraging the convenient user interface and ubiquitous Internet connection on iPad 2 for interactive delineation, segmentation, representation, matching and retrieval of biomedical images. With these technologies, this thesis showcased examples of performing reliable image matching from different views of an object in the applications of semantic image search for biomedical informatics.