FireWire Vision Tools: filterYUVimage(yuv, rgbIn, yMin, yMax, uMin, uMax, vMin, vMax) - File Exchange

No BSD License

Highlights from
FireWire Vision Tools

trainCameraGUI(varargin) TRAINCAMERAGUI M-file for trainCameraGUI.fig
trainCameraStereo.m training program... acquires RGB/YUYV image data from a the cameras (stereoscopic vision)
trainStill.m training program... reads RGB/YUV image data from a mat-file and extracts the colour information of
filterYUVimage(yuv, rgbIn, yM... filter supplied YUV image according to the specified ranges and return
isalphanum(instr)
rgb2yuv(src)
test(varargin) test program for 'imgProc', colour file: 'testcolors.txt'
test(varargin) test program to continiously acquire pictures from the camera
test(varargin) test program to continiously capture pictures from the camera and process
test(varargin) test program to continiously capture stereoscopic pictures from the
test(varargin) test program to continiously capture pictures from the camera and
test(varargin) test program for 'imgProc', colour file: 'testcolors.txt'
test(varargin) test program to continiously capture pictures from the camera and
test(varargin) test program to continiously capture stereoscopic pictures from the
test(varargin) test program to continiously capture stereoscopic pictures from the
test(varargin) test program to continiously capture pictures from the camera
test(varargin) test program for 'imgProcSilent', colour file: 'testcolors.txt'
test(varargin) test program for 'imgProc', colour file: 'testcolors.txt'
test(varargin) test program to continiously capture pictures from the camera
test(varargin) test program to continiously capture pictures from the camera and process
test(varargin) test program to continiously capture stereoscopic pictures from the
test(varargin) test program to continiously capture pictures from the camera and process
test(varargin) test program to continiously acquire pictures from the camera
test(varargin) test program to continiously capture stereoscopic pictures from the
test(varargin) test program to continiously capture pictures from the camera and process
test(varargin) test program to continiously capture pictures from the camera and process
test(varargin) test program to continiously capture stereoscopic pictures from the
test(varargin) test program for 'imgProcSilent', colour file: 'testcolors.txt'
test(varargin) test program to continiously capture pictures from the camera and process
yuv2rgb(src)
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
cc.m
trainCamera.m
CameraCoordinates
CameraCoordinates
test_short.avi
View all files

from FireWire Vision Tools by Frank Wornle
A simple MATLAB interface to "FireWire Digital Cameras" and the Color Machine Vision algorithms "CMV

filterYUVimage(yuv, rgbIn, yMin, yMax, uMin, uMax, vMin, vMax)

% filter supplied YUV image according to the specified ranges and return
% the filtered rgb image

function rgbFILT = filterYUVimage(yuv, rgbIn, yMin, yMax, uMin, uMax, vMin, vMax)

% create filtered output...
[obj_r,obj_c] = find(...
    yuv(:,:,1)>=yMin & yuv(:,:,1)<=yMax & ...
    yuv(:,:,2)>=uMin & yuv(:,:,2)<=uMax & ...
    yuv(:,:,3)>=vMin & yuv(:,:,3)<=vMax);


% re-display RGB image indicating selected colour
rgbFILT = rgbIn;

% % redisplay original image with selected colour changed to black
% for(i = 1:length(obj_r))
%     rgbFILT(obj_r(i),obj_c(i),:) = uint8(0);
% end

% % redisplay original image with selected colours changed to the complement of the average
% for(i = 1:length(obj_r))
%     %rgbFILT(obj_r(i),obj_c(i),:) = [255 255 255] - [rAve gAve bAve];
% end

% split vector into even and odd elements... (shaded display)
idx = 1:length(obj_r);
oddx = find(mod(idx,2));
evex = setdiff(idx, oddx);

% redisplay original image with selected colours replaced by shades of black and white
for(i = 1:length(evex))
    rgbFILT(obj_r(evex(i)),obj_c(evex(i)),:) = uint8(255);
end

% redisplay original image without selected colours
for(i = 1:length(oddx))
    rgbFILT(obj_r(oddx(i)),obj_c(oddx(i)),:) = uint8(0);
end

Highlights from FireWire Vision Tools

Highlights from
FireWire Vision Tools