Filters are used to facilitate binarization. Several filters can be implemented on the same image, but not all filters support all image types. See the description of the respective filter for details.
By choosing the appropriate filter from the and clicking the button, several filters can be selected. The order of the filters can be changed using the . (The first filter will be implemented first.) Clicking the button brings the filter settings window of the given filter forward. Filters can be removed by clicking on the button.
This filter is based on the ImageJ Gaussian blur filter. For more information please click here. This filter supports all image types.
Reduces noise in the active image by replacing each pixel value with the median value of the adjacent pixels' values. Reference: ImageJ This filter supports all image types.
Smooths the current image by replacing each pixel value with the mean value of the adjacent pixels' values. The size of the adjacent area to be taken into account is specified by entering its radius into a dialog box. Reference: ImageJ This filter supports all image types.
These filters replace each pixel value with either the highest or the lowest intensity value among the adjacent pixels, respectively. Reference: ImageJ This filter supports all image types.
The background subtractor removes the static objects from each frame of the recording. To perform this operation, frames with the tracked object in a different location should be selected. This filter works using grayscale images only.
50th frame
145th frame
190th frame
Calculated background image