Perform bottom-hat filtering on intensity or binary images
Morphological Operations
visionmorphops
Use the Bottom-hat block to perform bottom-hat filtering on an intensity or binary image using a predefined neighborhood or structuring element. Bottom-hat filtering is the equivalent of subtracting the input image from the result of performing a morphological closing operation on the input image. This block uses flat structuring elements only.
Port | Input/Output | Supported Data Types | Complex Values Supported |
---|---|---|---|
I | Vector or matrix of intensity values |
| No |
Nhood | Matrix or vector of ones and zeros that represents the neighborhood values | Boolean | No |
Output | Scalar, vector, or matrix that represents the filtered image | Same as I port | No |
If your input image is a binary image, for the Input image type
parameter, select Binary
. If your input image is an intensity
image, select Intensity
.
Use the Neighborhood or structuring element source parameter to specify
how to enter your neighborhood or structuring element values. If you select
Specify via dialog
, the Neighborhood or structuring
element parameter appears in the dialog box. If you select Input
port
, the Nhood port appears on the block. Use this port to enter your
neighborhood values as a matrix or vector of 1s and 0s. You can only specify a structuring
element using the dialog box.
Use the Neighborhood or structuring element parameter to define the
region the block moves throughout the image. Specify a neighborhood by entering a matrix or
vector of 1s and 0s. Specify a structuring element with the strel
function from the Image Processing Toolbox™. If the structuring element is decomposable into smaller elements, the block
executes at higher speeds due to the use of a more efficient algorithm.
If your input image is a binary image, select Binary
. If
your input image is an intensity image, select
Intensity
.
Specify how to enter your neighborhood or structuring element values. Select
Specify via dialog
to enter the values in the dialog box.
Select Input port
to use the Nhood port to specify the
neighborhood values. You can only specify a structuring element using the dialog
box.
If you are specifying a neighborhood, this parameter must be a matrix or vector of
1s and 0s. If you are specifying a structuring element, use the
strel
function from the Image Processing Toolbox. This parameter is visible if, for the Neighborhood or
structuring element source parameter, you select Specify via
dialog
.
Computer Vision Toolbox™ software | |
Computer Vision Toolbox software | |
Video and Image Processing Blockset software | |
Computer Vision Toolbox software | |
Computer Vision Toolbox software | |
Computer Vision Toolbox software | |
Image Processing Toolbox software | |
Image Processing Toolbox software |