Deteksi Warna RGB Menggunakan Matlab – Assalamualaikum, selamat datang di blog yang sederhana ini. Kali ini saya akan membagikan program untuk mendeteksi warna RGB dengan menggunakan Matlab secara real time dengan menggunakan kamera. Program ini akan mendeteksi warna RGB secara otomatis dengan objek yang terlihat. Jadi, cara kerjanya adlah kita akan memperlihatkan objk yang berwarna RGB berapa saja, maka program akan mendeteksi warna dan jumlah warna yang ada.
PENTING, sebelum anda menjalankan program ini ada beberapa file tambahan yang haeus anda instal di Matlab yaitu menginstal plugin add-on di matlab melalui menu addon.
Nah, Berikut ini listing programnya, silahkan jalankan dan simpan dengan nama file sesuka anda.
[cpp]
%% Initialization
redThresh = 0.24; % Threshold for red detection
greenThresh = 0.05; % Threshold for green detection
blueThresh = 0.15; % Threshold for blue detection
vidDevice = imaq.VideoDevice(‘winvideo’, 1, ‘YUY2_1280x720’, … % 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;
[/cpp]
Berikut ini hasil outputnya.
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Deteksi Warna RGB Menggunakan Matlab Secara Realtime
