Abstract: The use of model-based approaches in the detection and identification of man-made objects is encountered frequently in the literature today. These approaches generally depend on very high resolution imagery, and must first be cued to an approximate location of these objects. The approaches are also highly computationally intensive and, therefore, cannot be relied upon to perform broad sweeps in either a real time scenario or during training stages. It is therefore necessary to preprocess imagery with techniques that are less expensive in computer processing and more general in their approach to detection. With these requirements in mind we examine a modified form of the chord transform in the detection of man-made objects in an image. In addition, since the chord transform is an O(N$+4$/) algorithm, we explore the possibility of a parallel implementation of this approach in a SIMD architecture. The resulting mechanism is capable of quickly identifying straight lines, right angles, parallel lines, and arcs in an image. These primitives are indicative of man-made objects in an image. !3
展开▼
