A novel edge detection method based on the maximizing objective function
Pattern Recognition
Automatic generation of consensus ground truth for the comparison of edge detection techniques
Image and Vision Computing
Journal of Visual Communication and Image Representation
Computer Vision and Image Understanding
Multiscale roughness measure for color image segmentation
Information Sciences: an International Journal
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
An efficient scheme for color edge detection in uniform color space
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
An efficient color quantization based on generic roughness measure
Pattern Recognition
| Hi-index | 0.01 |
A method is proposed whereby a color image is treated as a vector field and the edge information carried directly by the vectors is exploited. A class of color edge detectors is defined as the minimum over the magnitudes of linear combinations of the sorted vector samples. From this class, a specific edge detector is obtained and its performance characteristics studied. Results of a quantitative evaluation and comparison to other color edge detectors, using Pratt's (1991) figure of merit and an artificially generated test image, are presented. Edge detection results obtained for real color images demonstrate the efficiency of the detector