Multiscale Image Structure Detection

小行星9319038 这是一个为期三年的连续奖励的第一年资助。 本研究的重点是分析、开发、实时实现，并初步探索一种新的图像变换的实际应用。 该变换旨在用于多尺度、低级图像分割（即，在图像中存在的所有几何和光度标度下的图像结构的提取和表示）。 该变换检测图像区域的轮廓和骨架，并识别它们之间的跨尺度关系。 将研究高度并行架构上的算法的实现，以及用于实时实现的专用硬件的开发。

9319038 Ahuja This is the first year funding of a three-year continuing award. The research focuses on analysis, development, real-time implementation, and initial exploration of real-world application of a new image transform. The transform is intended for multiscale, low-level image segmentation (i.e., extraction and representation of image structure at all geometric and photometric scales present in an image). The transform detects contours and skeletons of image regions, and identifies the cross-scale relationships among them. Implementation of the algorithms on highly-parallel architectures will be studied, as well as development of special purpose hardware for real-time implementation.