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.
- 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 works with images of arbitrary type.
- CrossingDetect will only find zero crossings when applied to images of type .
- For color images, CrossingDetect operates on the intensity averaged over all channels.
- CrossingDetect[m] finds zero crossings in a numerical matrix m, returning a sparse array.
- CrossingDetect[m, delta] effectively chops values smaller in magnitude than delta.
- CrossingDetect by default treats all eight pixels surrounding a given pixel as adjacent.
- The option setting CornerNeighbors->False treats only the four pixels in the coordinate directions as adjacent.
- 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.
New in 8