Biomedical Engineering Reference
In-Depth Information
FIGURE 8.11
Intensity images: (a) original and (b) filtered.
Defining the processed point,
Applying the filtering algorithm to a window around the above point,
Obtaining the intensity value of the processed point, and
Repeating the process for all points of the intensity array.
The type of the filtering algorithm determines linear and nonlinear nature of spatial filtering. MATLAB
provides “imfilter” and “fspecial” for filtering and selecting the algorithm, respectively [2] . One of the
effective noise cancelling filtering algorithms is Wiener Filtering. Applying Wiener Filtering to the
original intensity array I and a processing window of 5 pixels
5 pixels,
I ¼ wiener2(I, [5 5])
result in the image shown in Fig. 8.11 (b). Noise is significantly reduced. The concentration profile
across the channel can be normalized and evaluated as follows:
image_handlefigure;
%Select a line for evaluation
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