|
Search:
Advanced search
|
Browse by category:
|
Contact Us |
Smoothing Filters |
|||||
SmoothFilters
Smoothes the image using Blur, Gaussian or Median filters.
Category:Image Processing
Properties: Filter, Kernel Rows, Kernel Cols, Kernel Size, Display Operation, InputImage, OutputImage.
Class:TVMSmoothFilters
Description
Smoothing filters are used to smooth image edges, to reduce detail and to remove noise. Smooth is done passing an special kernel over the image. The Blur method, also known as mean, calculates the new pixel value by simply calculating the mean value of the neighbourhood pixels defined by the kernel size. The Gaussian method convolves the image using a Gaussian kernel. The Median method is similar to the blur method but the median value of neighbourhood pixels is used instead of the mean.
Static Properties
Filter
Set the filter method to use. Available values are Blur, Gaussian and Median.
Kernel Rows
Number of rows of the kernel. Valid for Blur and Gaussian filters.
Kernel Cols
Number of columns of the kernel. Valid for Blur and Gaussian filters.
Kernel Size
Size of a side of the square kernel. Valid only for Median filter.
Display Operation
Specifies whether or not to display the image resulting from the operation.
Dynamic Properties
Input Properties
InputImage
Holds the image or ROI to be processed by the operation. Can be gray level or color image.
Output Properties
OutputImage
Holds the resulting image from the operation.
See also:
Sample |
|||||
| Others in this Category | |
 |
Image Threshold |
|
Morphological Operator |
|
Image Adjustments |
|
Gradient filters |
|
Convolution |
|
Image Arithmetics |
Powered by
KBPublisher (Knowledge base software)