gives a binary image in which white pixels correspond to the zero crossings in image.
treats values in image that are smaller in absolute value than delta as zero.
gives a binary sparse array in which 1 corresponds to zero crossings in array.
- CrossingDetect finds pixels with positive values that have at least one negative neighbor.
- CrossingDetect is typically used in edge-detection algorithms based on second derivatives.
- CrossingDetect will only find zero crossings when applied to images of a real type.
- For color images, CrossingDetect operates on the intensity averaged over all channels.
- CrossingDetect works with 3D as well as 2D images, and also with arrays of rank 1, 2, or 3.
- CrossingDetect takes a CornerNeighbors option. The default setting is CornerNeighbors->True.
- Using the option setting CornerNeighbors->None, CrossingDetect operates on the dual grid whose pixels correspond to the corners in the original image, thereby reducing the dimensions of the resulting image by one pixel.