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Approach 2

function stopfind(stopcolor,name) ticstopcolor = imread(stopcolor); % import the picture stopcolor = imresize(stopcolor,[500,NaN]); % resize the picture stop = rgb2gray(stopcolor); % make it grayscalestop = edge(stop); % edge detector to get rid of extraneous elements and convert to 1's and 0'sstop = bwareaopen(stop,30); % get rid of all blobs too small to be important bounds = regionprops(stop, 'boundingbox'); % for all regions, find their boundscenters = regionprops(stop, 'centroid'); % for all regions, find their centre of mass areas = regionprops(stop, 'area');numBlobs = length(bounds); % find the number of retions regions = zeros(numBlobs,4); % create a matrix to hold all the region dataheight = zeros(numBlobs,1); centerpts = zeros(numBlobs,2);area = zeros(numBlobs,1); for n = 1:numBlobs %regions(n,:) = bounds(n).BoundingBox; % populate the matrix for each region height(n) = regions(n,4);centerpts(n,:) = centers(n).Centroid; % populate the center matrix for each blob area(n,:) = areas(n).Area;end % numsamecenters=1;for i = 1:numBlobs for j = i+1:numBlobsif(abs(centerpts(i,1)-centerpts(j,1))+abs(centerpts(i,2)-centerpts(j,2)) 10) %add a less than symbol in front of the 10 [cnx would not let me import the actual line]samecenters(numsamecenters) = i; numsamecenters=numsamecenters+1;end endend figureaxis ij imshow(stopcolor)hold on title(name);for n = 1:numsamecenters-1 samecenter = floor(centerpts(samecenters(n),:));abovept = [samecenter(1),floor(samecenter(2)-height(samecenters(n)))]; belowpt = [samecenter(1),floor(samecenter(2)+height(samecenters(n)))]; rightpt = [samecenter(1)-floor(regions(samecenters(n),3)/3),samecenter(2)]; left_pt = [samecenter(1)+floor(regions(samecenters(n),3)/3),samecenter(2)]; if checkColor2(abovept(1),abovept(2),stopcolor)if checkColor2(belowpt(1),belowpt(2),stopcolor) plot(samecenter(1)-regions(samecenters(n),3)/2,samecenter(2),'go',...'markersize',4.5*regions(samecenters(n),3)) endendend hold offtoc end

Approach 3

function findAll % Import the Templates%-------------------------------------------------------------------------- S = imread('Templates/S.jpg'); % S templateT = imread('Templates/T.jpg'); % T template O = imread('Templates/O.jpg'); % O templateP = imread('Templates/P.jpg'); % P template STOP_W = imread('Templates/STOP_W.jpg'); % stop sign with white backgroundSTOP_B = imread('Templates/STOP_B.jpg'); % stop sign with black background SPEED = imread('Templates/SPEED.jpg'); % speed limit signONEWAY = imread('Templates/ONEWAY.jpg'); % one way sign DNE = imread('Templates/DNE.jpg'); % do not enter sign%-------------------------------------------------------------------------- for k = 1:3sign = imread(strcat('Do_Not_Enter/',num2str(k),'.jpg')); % import the picturesign1 = rgb2gray(sign); % make it grayscale sign1 = edge(sign1); % edge detector to get rid of extraneous elements and convert to 1's and 0'ssign1 = bwareaopen(sign1,30); % get rid of all blobs too small to be important bounds = regionprops(sign1, 'boundingbox'); % for all regions, find their boundsnumBlobs = size(bounds); % find the number of regions numBlobs = numBlobs(1); % make that number a handy variableregions = zeros(numBlobs,4); % create a matrix to hold all the region datafor n = 1:numBlobs % regions(n,:) = bounds(n).BoundingBox; % populate the matrix for each regionend checkS = zeros(1,numBlobs); % matrix holding the correlations of each blob with the S templatecheckT = zeros(1,numBlobs); % ditto for the T template checkO = zeros(1,numBlobs); % ditto for the O templatecheckP = zeros(1,numBlobs); % ditto for the P template checkSTOP_W = zeros(1,numBlobs); % ditto for the white stop sign templatecheckSTOP_B = zeros(1,numBlobs); % ditto for the black stop sign template checkSPEED = zeros(1,numBlobs); % ditto for the speed limit templatecheckONEWAY = zeros(1,numBlobs); % ditto for the one way template checkDNE = zeros(1,numBlobs); % ditto for the do not enter templatefor n = 1:numBlobs cropped = imcrop(sign, regions(n,:)); % choose one of the regions and crop itcropped = imresize(cropped, [57 35]); % resize the image for correlation testingcheckR = corr2(cropped(:,:,1), S(:,:,1)); % check red correlation between cropped image and S templatecheckG = corr2(cropped(:,:,2), S(:,:,2)); % check green correlation between cropped image and S template checkB = corr2(cropped(:,:,3), S(:,:,3)); % check blue correlation between cropped image and S templatecheckS(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), T(:,:,1)); % red for T template checkG = corr2(cropped(:,:,2), T(:,:,2)); % green for T templatecheckB = corr2(cropped(:,:,3), T(:,:,3)); % blue for T template checkT(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), O(:,:,1)); % red for O templatecheckG = corr2(cropped(:,:,2), O(:,:,2)); % green for O template checkB = corr2(cropped(:,:,3), O(:,:,3)); % blue for O templatecheckO(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), P(:,:,1)); % red for P template checkG = corr2(cropped(:,:,2), P(:,:,2)); % green for P templatecheckB = corr2(cropped(:,:,3), P(:,:,3)); % blue for S template checkP(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), STOP_W(:,:,1)); % red for white stop sign templatecheckG = corr2(cropped(:,:,2), STOP_W(:,:,2)); % green for white stop sign template checkB = corr2(cropped(:,:,3), STOP_W(:,:,3)); % blue for white stop sign templatecheckSTOP_W(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), STOP_B(:,:,1)); % red for black stop sign template checkG = corr2(cropped(:,:,2), STOP_B(:,:,2)); % green for black stop sign templatecheckB = corr2(cropped(:,:,3), STOP_B(:,:,3)); % blue for black stop sign template checkSTOP_B(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), SPEED(:,:,1)); % red for speed limit templatecheckG = corr2(cropped(:,:,2), SPEED(:,:,2)); % green for speed limlit template checkB = corr2(cropped(:,:,3), SPEED(:,:,3)); % blue for speed limit templatecheckSPEED(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), ONEWAY(:,:,1)); % red for one way template checkG = corr2(cropped(:,:,2), ONEWAY(:,:,2)); % green for one way templatecheckB = corr2(cropped(:,:,3), ONEWAY(:,:,3)); % blue for one way template checkONEWAY(1,n) = (checkR + checkG + checkB)/3; % sum the correlationscheckR = corr2(cropped(:,:,1), DNE(:,:,1)); % red for one way templatecheckG = corr2(cropped(:,:,2), DNE(:,:,2)); % green for one way template checkB = corr2(cropped(:,:,3), DNE(:,:,3)); % blue for one way templatecheckDNE(1,n) = (checkR + checkG + checkB)/3; % sum the correlations end% Nice display (uncomment all) %fprintf(strcat(num2str(k),':\n'));%fprintf(strcat('S: ', num2str(max(checkS)), '\n')); %fprintf(strcat('T: ', num2str(max(checkT)), '\n'));%fprintf(strcat('O: ', num2str(max(checkO)), '\n')); %fprintf(strcat('P: ', num2str(max(checkP)), '\n'));%fprintf(strcat('STOP_W: ', num2str(max(checkSTOP_W)), '\n')); %fprintf(strcat('STOP_B: ', num2str(max(checkSTOP_B)), '\n'));%fprintf(strcat('SPEED: ', num2str(max(checkSPEED)), '\n')); %fprintf(strcat('ONEWAY: ', num2str(max(checkONEWAY)), '\n'));%fprintf(strcat('DNE: ', num2str(max(checkDNE)), '\n\n'));% Useful display for copying and pasting into a table (uncomment one line at a time) %fprintf(strcat(num2str(max(checkS)), '\n'));%fprintf(strcat(num2str(max(checkT)), '\n')); %fprintf(strcat(num2str(max(checkO)), '\n'));%fprintf(strcat(num2str(max(checkP)), '\n')); %fprintf(strcat(num2str(max(checkSTOP_W)), '\n'));%fprintf(strcat(num2str(max(checkSTOP_B)), '\n')); %fprintf(strcat(num2str(max(checkSPEED)), '\n'));%fprintf(strcat(num2str(max(checkONEWAY)), '\n')); %fprintf(strcat(num2str(max(checkDNE)), '\n'));endend

Questions & Answers

A golfer on a fairway is 70 m away from the green, which sits below the level of the fairway by 20 m. If the golfer hits the ball at an angle of 40° with an initial speed of 20 m/s, how close to the green does she come?
Aislinn Reply
cm
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A mouse of mass 200 g falls 100 m down a vertical mine shaft and lands at the bottom with a speed of 8.0 m/s. During its fall, how much work is done on the mouse by air resistance
Jude Reply
Can you compute that for me. Ty
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Youesf Reply
what is inorganic
emma
Chemistry is a branch of science that deals with the study of matter,it composition,it structure and the changes it undergoes
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2. A sled plus passenger with total mass 50 kg is pulled 20 m across the snow (0.20) at constant velocity by a force directed 25° above the horizontal. Calculate (a) the work of the applied force, (b) the work of friction, and (c) the total work.
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you have been hired as an espert witness in a court case involving an automobile accident. the accident involved car A of mass 1500kg which crashed into stationary car B of mass 1100kg. the driver of car A applied his brakes 15 m before he skidded and crashed into car B. after the collision, car A s
Samuel Reply
can someone explain to me, an ignorant high school student, why the trend of the graph doesn't follow the fact that the higher frequency a sound wave is, the more power it is, hence, making me think the phons output would follow this general trend?
Joseph Reply
Nevermind i just realied that the graph is the phons output for a person with normal hearing and not just the phons output of the sound waves power, I should read the entire thing next time
Joseph
Follow up question, does anyone know where I can find a graph that accuretly depicts the actual relative "power" output of sound over its frequency instead of just humans hearing
Joseph
"Generation of electrical energy from sound energy | IEEE Conference Publication | IEEE Xplore" ***ieeexplore.ieee.org/document/7150687?reload=true
Ryan
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answer
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progressive wave
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Mujahid
A string is 3.00 m long with a mass of 5.00 g. The string is held taut with a tension of 500.00 N applied to the string. A pulse is sent down the string. How long does it take the pulse to travel the 3.00 m of the string?
yasuo Reply
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Source:  OpenStax, Street sign detection with template matching and edge detection methods. OpenStax CNX. Dec 19, 2011 Download for free at http://cnx.org/content/col11387/1.1
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