The threshold value of red

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Emmanuel
Emmanuel 2014-6-3
编辑： per isakson 2018-4-13
The threshold value I had given for red is 0.18..but it does not detect the color of marker red. I also use green and blue markers which go u tracked after a certain distance. Is that normal with a webcam or can I still improve my tracking by modifying the code?

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回答（2 个）

sam gut
sam gut 2018-4-13
0.24 is the threshold value try that
sam gut
sam gut 2018-4-13
编辑：per isakson 2018-4-13
redThresh = 0.14; % Threshold for red detection
greenThresh = 0.05; % Threshold for green detection
blueThresh = 0.15; % Threshold for blue detection
vidDevice = imaq.VideoDevice('winvideo', 1, 'YUY2_640x480', ... % Acquire input video stream
'ROI', [1 1 640 480], ...
'ReturnedColorSpace', 'rgb');
vidInfo = imaqhwinfo(vidDevice); % Acquire input video property
hblob = vision.BlobAnalysis('AreaOutputPort', false, ... % Set blob analysis handling
'CentroidOutputPort', true, ...
'BoundingBoxOutputPort', true', ...
'MinimumBlobArea', 600, ...
'MaximumBlobArea', 3000, ...
'MaximumCount', 10);
hshapeinsBox = vision.ShapeInserter('BorderColorSource', 'Input port', ... % Set box handling
'Fill', true, ...
'FillColorSource', 'Input port', ...
'Opacity', 0.4);
htextinsRed = vision.TextInserter('Text', 'Red : %2d', ... % Set text for number of blobs
'Location', [5 2], ...
'Color', [1 0 0], ... // red color
'Font', 'Courier New', ...
'FontSize', 14);
htextinsGreen = vision.TextInserter('Text', 'Green : %2d', ... % Set text for number of blobs
'Location', [5 18], ...
'Color', [0 1 0], ... // green color
'Font', 'Courier New', ...
'FontSize', 14);
htextinsBlue = vision.TextInserter('Text', 'Blue : %2d', ... % Set text for number of blobs
'Location', [5 34], ...
'Color', [0 0 1], ... // blue color
'Font', 'Courier New', ...
'FontSize', 14);
htextinsCent = vision.TextInserter('Text', '+ X:%4d, Y:%4d', ... % set text for centroid
'LocationSource', 'Input port', ...
'Color', [1 1 0], ... // yellow color
'Font', 'Courier New', ...
'FontSize', 14);
hVideoIn = vision.VideoPlayer('Name', 'Final Video', ... % Output video player
'Position', [100 100 vidInfo.MaxWidth+20 vidInfo.MaxHeight+30]);
nFrame = 0; % Frame number initialization
%
%%Processing Loop
while(nFrame < 300)
rgbFrame = step(vidDevice); % Acquire single frame
rgbFrame = flipdim(rgbFrame,2); % obtain the mirror image for displaying
%
diffFrameRed = imsubtract(rgbFrame(:,:,1), rgb2gray(rgbFrame)); % Get red component of the image
diffFrameRed = medfilt2(diffFrameRed, [3 3]); % Filter out the noise by using median filter
binFrameRed = im2bw(diffFrameRed, redThresh); % Convert the image into binary image with the red objects as white
%
diffFrameGreen = imsubtract(rgbFrame(:,:,2), rgb2gray(rgbFrame)); % Get green component of the image
diffFrameGreen = medfilt2(diffFrameGreen, [3 3]); % Filter out the noise by using median filter
binFrameGreen = im2bw(diffFrameGreen, greenThresh); % Convert the image into binary image with the green objects as white
%
diffFrameBlue = imsubtract(rgbFrame(:,:,3), rgb2gray(rgbFrame)); % Get blue component of the image
diffFrameBlue = medfilt2(diffFrameBlue, [3 3]); % Filter out the noise by using median filter
binFrameBlue = im2bw(diffFrameBlue, blueThresh); % Convert the image into binary image with the blue objects as white
%
[centroidRed, bboxRed] = step(hblob, binFrameRed); % Get the centroids and bounding boxes of the red blobs
centroidRed = uint16(centroidRed); % Convert the centroids into Integer for further steps
%
[centroidGreen, bboxGreen] = step(hblob, binFrameGreen); % Get the centroids and bounding boxes of the green blobs
centroidGreen = uint16(centroidGreen); % Convert the centroids into Integer for further steps
%
[centroidBlue, bboxBlue] = step(hblob, binFrameBlue); % Get the centroids and bounding boxes of the blue blobs
centroidBlue = uint16(centroidBlue); % Convert the centroids into Integer for further steps
%
rgbFrame(1:50,1:90,:) = 0; % put a black region on the output stream
vidIn = step(hshapeinsBox, rgbFrame, bboxRed, single([1 0 0])); % Instert the red box
vidIn = step(hshapeinsBox, vidIn, bboxGreen, single([0 1 0])); % Instert the green box
vidIn = step(hshapeinsBox, vidIn, bboxBlue, single([0 0 1])); % Instert the blue box
for object = 1:1:length(bboxRed(:,1)) % Write the corresponding centroids for red
centXRed = centroidRed(object,1); centYRed = centroidRed(object,2);
vidIn = step(htextinsCent, vidIn, [centXRed centYRed], [centXRed-6 centYRed-9]);
end
for object = 1:1:length(bboxGreen(:,1)) % Write the corresponding centroids for green
centXGreen = centroidGreen(object,1); centYGreen = centroidGreen(object,2);
vidIn = step(htextinsCent, vidIn, [centXGreen centYGreen], [centXGreen-6 centYGreen-9]);
end
for object = 1:1:length(bboxBlue(:,1)) % Write the corresponding centroids for blue
centXBlue = centroidBlue(object,1); centYBlue = centroidBlue(object,2);
vidIn = step(htextinsCent, vidIn, [centXBlue centYBlue], [centXBlue-6 centYBlue-9]);
end
vidIn = step(htextinsRed, vidIn, uint8(length(bboxRed(:,1)))); % Count the number of red blobs
vidIn = step(htextinsGreen, vidIn, uint8(length(bboxGreen(:,1)))); % Count the number of green blobs
vidIn = step(htextinsBlue, vidIn, uint8(length(bboxBlue(:,1)))); % Count the number of blue blobs
step(hVideoIn, vidIn); % Output video stream
nFrame = nFrame+1;
end
%%Clearing Memory
release(hVideoIn); % Release all memory and buffer used
release(vidDevice);
clear all;
clc;

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