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[Wabi-Sabi] This image proposes the Wabi-Sabi design principle because it’s another take on have a small “reading corner.” Typically, we would see a couch of some sort, a book shelf full of literature, a side-desk, with a warm essence of light from a lamp shade. But this design has lamps with a wireframe as a lamp shade, a book with curled pages, and a imperfect, neutral overall look.[Raquel Gonzalez]
This is an example of the kind of facilites that you'll find at a good field. This is the Broken River day lodge and its very cool. There's nothing else up the mountain apart from a couple of rope tows. You could say that its pretty unspoilt up there!
An example of how to cross-thread craft buttons then knot them to stop them moving about.
Teddy Bear Necklace Kits are £4 each.
Create your own bear necklace with one of these kits.
Each kit comes with 3 pieces of either waxed thread, beading cord, jute, ribbon or spaghetti lace plus approx 36 items combined of beads, buttons, a bell, a charm and much more.
Come and try a new craft every day at:
lellalovescreativity.blogspot.com/
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;
}