Automatic generation of consensus ground truth for the comparison of edge detection techniques
Image and Vision Computing
Evaluation of global thresholding techniques in non-contextual edge detection
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
Grey conversion via perceived-contrast
The Visual Computer: International Journal of Computer Graphics
| Hi-index | 35.68 |
A vector gradient approach is proposed to detect boundaries in multidimensional data with multiple attributes (a vector field). It is used to extend a gradient edge detector to color images. The statistical effects of noise on the distribution of the amplitudes and directions of the vector gradient are characterized. The noise behavior of the L 2 norm of the scalar gradients is also characterized for comparison. When the attribute components are highly correlated, as is often the case in color images, use of the vector gradient shows a small gain in signal-to-noise ratio over that of the L2 norm of the scalar gradients. This small gain may or may not be significant, depending on other measures an edge detector uses to deal with noise