如何將RGB圖像轉換為灰度，但保留一種顏色？我試圖創造一個類似于罪惡之城或其他電影，他們刪除所有的顏色，但一個從圖像中刪除。我有一個RGB圖像，我想轉換為灰度，但我想保留一種顏色。這是我的照片：我想保留紅色。剩下的應該是灰階的。到目前為止，這就是我的代碼輸出的內容(您可以看到這些區域是正確的，我不知道為什么它們是白色的，而不是紅色的)：到目前為止，這是我的代碼：filename = 'roses.jpg';[cdata,map] = imread( filename );% convert to RGB if it is indexed imageif ~isempty( map )
cdata = idx2rgb( cdata, map ); end%imtool('roses.jpg');imWidth = 685;imHeight = 428;% RGB ranges of a color we want to keepredRange
= [140 255];greenRange = [0 40];blueRange = [0 40];% RGB values we don't want to convert to grayscaleredToKeep =
zeros(imHeight, imWidth);greenToKeep = zeros(imHeight, imWidth);blueToKeep = zeros(imHeight, imWidth);for x=1:imWidth
for y=1:imHeight
red = cdata( y, x, 1 );
green = cdata( y, x, 2 );
blue = cdata( y, x, 3 );
if (red >= redRange(1) && red <= redRange(2) && green >= greenRange(1) && green <= greenRange(2) && blue >= blueRange(1) &
& blue <= blueRange(2))
redToKeep( y, x ) = red;
greenToKeep( y, x ) = green;
blueToKeep( y, x ) = blue;
else
redToKeep( y, x ) = 999;
greenToKeep( y, x ) = 999;
blueToKeep( y, x ) = 999;
end
end end im = rgb2gray(cdata);[X, map] = gray2ind(im);im = ind2rgb(X, map);for x=1:imWidth
for y=1:imHeight
if (redToKeep( y, x ) < 999)
im( y, x, 1 ) = 240;
end
if (greenToKeep( y, x ) < 999)
im( y, x, 2 ) = greenToKeep( y, x );
end
if (blueToKeep( y, x ) < 999)
im( y, x, 3 ) = blueToKeep( y, x );
end
end end imshow(im);
3 回答
慕仙森
TA貢獻1827條經驗 獲得超8個贊
figurepic = imread('EcyOd.jpg');for mm = 1:size(pic,1)
for nn = 1:size(pic,2)
if pic(mm,nn,1) < 80 || pic(mm,nn,2) > 80 || pic(mm,nn,3) > 100
gsc = 0.3*pic(mm,nn,1) + 0.59*pic(mm,nn,2) + 0.11*pic(mm,nn,3);
pic(mm,nn,:) = [gsc gsc gsc];
end
endendimshow(pic)
小怪獸愛吃肉
TA貢獻1852條經驗 獲得超1個贊
rgb2hsvhsv2rgb:
cdata = imread('EcyOd.jpg'); % Load imagehsvImage = rgb2hsv(cdata);
% Convert the image to HSV spacehPlane = 360.*hsvImage(:, :, 1); % Get the hue plane scaled from 0 to 360sPlane = hsvImage(:, :, 2);
% Get the saturation planenonRedIndex = (hPlane > 20) & ... % Select "non-red" pixels
(hPlane < 340);sPlane(nonRedIndex) = 0;
% Set the selected pixel saturations to 0hsvImage(:, :, 2) = sPlane;
% Update the saturation planergbImage = hsv2rgb(hsvImage);
% Convert the image back to RGB space
關于選擇顏色范圍的注意事項.。
hPlanehistchistcountsbar:
binEdges = 0:360; % Edges of histogram binshFigure = figure();
% New figure% Bin pixel hues and plot histogram:if verLessThan('matlab', '8.4')
N = histc(hPlane(:), binEdges); % Use histc in older versions
hBar = bar(binEdges(1:end-1), N(1:end-1), 'histc');else
N = histcounts(hPlane(:), binEdges);
hBar = bar(binEdges(1:end-1), N, 'histc');endset(hBar, 'CData', 1:360, ... % Change the color of the bars using
'CDataMapping', 'direct', ... % indexed color mapping (360 colors)
'EdgeColor', 'none'); % and remove edge coloringcolormap(hsv(360));
% Change to an HSV color map with 360 pointsaxis([0 360 0 max(N)]);
% Change the axes limitsset(gca, 'Color', 'k');
% Change the axes background colorset(hFigure, 'Pos', [50 400 560 200]);
% Change the figure sizexlabel('HSV hue (in degrees)');
% Add an x labelylabel('Bin counts');
% Add a y label
開滿天機
TA貢獻1786條經驗 獲得超13個贊
red = cdata( y, x, 1 );
green = cdata( y, x, 2 );
blue = cdata(y, x, 3);
if (red < (blue * 1.4) || red < (green * 1.4) )
{
avg = (red + green + blue) / 3;
cdata(y, x, 1) = avg;
cdata(y, x, 2) = avg;
cdata(y, x, 3) = avg;
}添加回答
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