Parametric Curve Segment Extraction by Support Regions
This work addresses image processing and computer vision tasks by providing a method for curve extraction, but it appears incremental as it builds on existing filter-based techniques without broad application claims.
The authors tackled the problem of extracting parametric curve segments from images by using Laplacian of Gaussian filter responses to form support regions and modeling boundaries with Fourier series, resulting in segmentation that yields convex and concave curves.
We introduce a method to extract curve segments in parametric form from the image directly using the Laplacian of Gaussian (LoG) filter response. Our segmentation gives convex and concave curves. To do so, we form curve support regions by grouping pixels of the thresholded filter response. Then, we model each support region boundary by Fourier series and extract the corresponding parametric curve segment.