| Summary: | 碩士 === 國立中央大學 === 資訊工程研究所 === 90 ===
In this study, approaches of image enhancement, edge extraction, and line-based image matching for remote sensing images are proposed. The image enhancement includes noise reduction and contrast enhancement. We apply wavelet shrinkage techniques to suppress noise while preserving the sharpness of large-scale edges based on a Teager energy operator.
The edge extraction contains wavelet-based edge detection and tracking. Wavelet transform provides multiresolution representation of images for robust tracking. The proposed edge detector consists of three modules: (i) starting point extraction and purgation for tracking, (ii) multiresolution gradient image generation, and (iii) multiresolution edge tracking.
The image recognition approach matches line-based features using invariant Hausdorff distance. This approach matches two images and solves the problems of rotation, scaling, and translation transformations between these two images by applying the process of minimizing Hausdorff distance twice on the two sets of feature vectors.
|
|---|
