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Bottom-hat

Perform bottom-hat filtering on intensity or binary images

Library

Morphological Operations

visionmorphops

Description

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.

PortInput/OutputSupported Data TypesComplex Values Supported

I

Vector or matrix of intensity values

  • Double-precision floating point

  • Single-precision floating point

  • Fixed point

  • Boolean

  • 8-, 16-, and 32-bit signed integer

  • 8-, 16-, and 32-bit unsigned integer

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.

Dialog Box

The Bottom-hat dialog box appears as shown in the following figure.

Input image type

If your input image is a binary image, select Binary. If your input image is an intensity image, select Intensity.

Neighborhood or structuring element source

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.

Neighborhood or structuring element

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.

See Also

Closing

Computer Vision System Toolbox™ software

Dilation

Computer Vision System Toolbox software

Erosion

Video and Image Processing Blockset software

Label

Computer Vision System Toolbox software

Opening

Computer Vision System Toolbox software

Top-hat

Computer Vision System Toolbox software

imbothat

Image Processing Toolbox software

strel

Image Processing Toolbox software

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