A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Drawing and animation using skeletal strokes
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Journal of Mathematical Imaging and Vision
An Active Testing Model for Tracking Roads in Satellite Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Prospects in Line Detection by Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale detection of curvilinear structures in 2-D and 3-D image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A simple and robust line detection algorithm based on small eigenvalue analysis
Pattern Recognition Letters
Fast curvilinear structure extraction and delineation using density estimation
Computer Vision and Image Understanding
Design of steerable filters for feature detection using canny-like criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Wide Lines Using Isotropic Nonlinear Filtering
IEEE Transactions on Image Processing
Structural vectorization of raster images
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
| Hi-index | 0.00 |
This paper presents an edge-enhanced isotropic nonlinear filter to extract strokes from cartoon images. The algorithm starts by removing most non-stroke regions that have high brightness values using an adaptive threshold. According to the property of dark outline in cartoon images, A Laplacian of Gaussian filter is applied to enhance the isotropic responses of boundary pixels in the stroke. Compared to existing stroke extraction methods, our algorithm can extract strokes in its entirety, and faithfully preserve the details on the stroke boundaries, especially for noisy images. Experimental results show that the proposed algorithm can produce more robust and accurate extraction results on a variety style of cartoon images.