Filtering data from an image for surface roughness

I'm working on code that takes in an image of the edge of a material, traces the edge, and then (hopefully) applies a Gaussian high pass filter to the data. I have the data from the trace, but I'm just not sure how to apply a filter to it. Here's my current code

function[]= MMtrace2(image)
%creates a trace of an image based on the trace from Photoshop

clc;
mm = imread(image);
BW = im2bw(mm);
BW2 = (BW == 0);
imshow(BW2);
[yy , xx]=find(BW2);
uy = accumarray( xx, yy, [], @mean );
ux = 1:max(xx);
figure;plot(ux,uy,'r','LineWidth',1.5);

end

The resulting image is attached. I'm just trying to get rid of the waviness of the profile (the longer curves), which is why I need the high pass filter.

Thanks

[Image Analyst]

I fixed it for you this time, but in the future, to learn how to format your code, see this link: http://www.mathworks.com/matlabcentral/answers/13205#answer_18099

You also forgot to attach the image. Please use the green and brown frame icon so we can see what you're talking about.

To use a high pass filter, you can use imfilter() or conv2() or imgradient(). To measure texture or roughness, you can use stdfilt() or entropyfilt().