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This scene was shot with the E510 and developed in Master 2 using camera settings. Muted Contrast -2 Saturation -2 Sharpness -2 Noise Filter OFF The intention is to show the widest range of contrast possible using the in camera adjustments on a difficult subject. Pay careful attention to the blinds in the window first floor nearest.
left= my scan right= lab scan
Heather, i hope you don't mind being my example. This was a photo that I remembered had been silhouette (which, granted, is cool)...but I also remembered playing with it in photoshop and finding I could pull a lot more information from the neg than was showing up. When I scanned this one myself, look how much more of her face you can see.
I promise I won't keep going on and on about it. Just, it feels weird knowing that someone else has had some control over my photos...kind of crazy.
I should also mention, as of right now I am not doing anything to these pictures other than scanning..no color enhancement or anything.
//Macro for ImageJ by
//Michael Cammer cammer@aecom.yu.edu for AIF www.aecom.yu.edu/aif/
//Data presented or published using this/these macro(s)/function(s) or modification(s) thereof
//must acknowledge the "Analytical Imaging Facility at the Albert Einstein College of Medicine"
//and ImageJ as explained at rsb.info.nih.gov/ij/docs/faqs.html
// revision 1.02 July 11, 2005
// This macro finds the area of the traced object.
// Assuming this area is of a perfect circle, the radius is calculated.
// Then the difference between the circle's radius and the real radii are calculated.
// This version measures the number of radii, evenly spaced, specified by variable n.
// All radii are normalized by a factor such that the standard radius is always 100.
macro"Radial Sweep [q]"{
requires('1.34k');
n = 256;
run("Set Scale...", "distance=1 known=1 pixel=1 unit= global");
run("Set Measurements...", " centroid area redirect=None decimal=0");
run("Measure");
xc = getResult("X", nResults-1);
yc = getResult("Y", nResults-1);
A = getResult("Area", nResults-1);
selectWindow("Results");
run("Close");
r = sqrt(A/3.1415);
factor = 100 / r;
r = r * factor;
// This routine gets all the pixels along a ROI, not just vertices.
// It only works with the magic wand tool or a complete freehand ROI tool.
// It does not work with the polygon tool!
getSelectionCoordinates(x_, y_);
x = newArray(x_.length+1);
y = newArray(x_.length+1);
for (i=0; i<x_.length; i++){
x[i] = x_[i];
y[i] = y_[i];
}
x[x_.length] = x_[0];
y[y_.length] = y_[0];
newx = newArray(65535);
newy = newArray(65535);
newindex = 0;
for (i=0; i<x.length; i++){
if (i 0) step = 1; else step = -1;
for (k=y0; k!=y1; k=k+step) {
newx[newindex] = x[i];
newy[newindex] = k;
newindex++;
} // for k
} // if (x[i+1] == x[i])
if (y[i+1] == y[i]){
x0 = x[i];
x1 = x[i+1];
dx = x1 - x0;
if (dx > 0) step = 1; else step = -1;
for (k=x0; k!=x1; k=k+step) {
newx[newindex] = k;
newy[newindex] = y[i];
newindex++;
} // for k
} // if (y[i+1] == y[i])
if ( (x[i] != x[i+1]) && (y[i]!=y[i+1]) ){
newx[newindex] = x[i];
newy[newindex] = y[i];
newindex++; }
} // if (i < (x.length-1))
} // for i
// This is the end of the routine that gets the coordinates along the edge.
// The coordinates are stored in the arrays x and y.
//setBatchMode(true);
stepsize = floor(newindex/n); //stepsize = 1;
print('//************************'); print(getTitle());
difference = newArray(65535);
newindex = newindex - 1;
sum = 0; count = 0;
for (i=0; i<newindex; i=i+stepsize) {
dx = xc - newx[i];
dy = yc - newy[i];
diag = factor * (sqrt ( (dx*dx) + (dy*dy) ));
//print(diag-r);
difference[count] = diag-r;
sum = sum + (diag-r); count++;
}
average = sum /count;
print("area", A);
print("average", average);
dif = newArray(count);
for(i=0;i 1){
variance = calculateUnbiasedVariance(a);
print("variance", variance);
stdev = pow(variance, 0.5);
print("stdev", stdev);
return stdev;}
else
return 0;
}
//----------------------------------------------------------------------------------
//Calculates BIASED variance as defined at davidmlane.com/hyperstat/A16252.html
//It is biased because it tends to underestimate the spread.
//We, however, like to err on the side of caution, a.k.a. UNBIASED.
//The variance is a measure of how spread out a distribution is.
//It is computed as the average squared deviation of each number from its mean.
//Function is passed an array of numbers and returns a single number.
function calculateBiasedVariance(a){
//get the mean
sum = 0;
for (i=0;i<a.length;i++) sum = sum + a[i];
mean = sum / a.length;
//get the top of the equation
sum2 = 0;
for (i=0;i 1){
//get the mean
sum = 0;
for (i=0;i<a.length;i++) sum = sum + a[i];
mean = sum / a.length;
//get the top of the equation
sum2 = 0;
for (i=0;i0) {
stdDev = (n*sum2-sum*sum)/n;
if (stdDev>0.0)
stdDev = Math.sqrt(stdDev/(n-1.0));
else
stdDev = 0.0;
}
else
stdDev = 0.0;
}
East 30th Street looking South. The line of voters stretched from the Board of Elections building at Euclid and East 30th, all the way down East 30th to Chester, back to Euclid, and up Euclid.
Using gqcam to take an image with a Create Webcam Live! (no using Ubuntu/Feisty Fawn)
nozell.com/blog/2006/06/07/creative-webcam-live-works-wit...
Sales Associate Resume Example are really great examples of resume and curriculum vitae for those who are looking for guidance to fulfilling the recruitment in applying jobs and other formal need. These resume forms are also made to be flexible so you can easily change what are needed based on ...
A tethered underwater robotic Eric displayed during his talk on these types of robots held in Walters Conference Hall at the Evergreen Conference Center Oakhurst (ECCO) in Oakhurst, California.