MATLAB: Image processing of soot flame

digital image processingimage analysisimage processing

I am useing the impixel(image.jpg) to find the intensity of image.It is taking a long time.Is there any other way to find the intensity.

Best Answer

It depends on your exact definition of "find". Exactly what do you mean by that?

If you just want to mouse around on the image and see the (x,y) and (r,g,b) on the figure window in a status text line, call impixelinfo:

hp = impixelinfo();

You can move it to a different place by setting the Position property of hp:

hp.Units = 'normalized';
hp.Position = [0.2, 0.95, 0.3, 0.05];

Related Solutions

MATLAB: How to get value of all pixel in grayscale image

You specify the row and column:

grayImage = imread(filename);
% Find intensity at row 5, column 39:
thisIntensity = grayImage(5, 39);
% or
thisIntensity = impixel(grayImage, 5, 39);

You might also like to mouse around over the image and see a "live" interactive readout of the x, y, and intensity. If so, do this:

hp = impixelinfo();

You can then place it where like by doing

hp.Position = [x, y, width, height];

MATLAB: How to find intensity of selected region in an image

Yes. Assuming you have a binary image mask with two regions in there, and a gray scale image "grayImage", do this:

props = regionprops(mask, grayImage, 'MeanIntensity');
allIntensities = [props.MeanIntensity]

To see the intensity as you mouse around over the image, right after you show it with imshow(), call impixelinfo.

imshow(grayImage);
hp = impixelinfo();
% To set location of the status bar
hp.Position = [0.2, 0.4, 0.03, 0.4]; % xLeft, yBottom, width, height, all normalized 0-1.

Best Answer

Related Solutions

MATLAB: How to get value of all pixel in grayscale image

MATLAB: How to find intensity of selected region in an image

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