counting pixels within an image file

I have an image and I'm trying to count the number of white and non white pixels of an image. The original image is 16-bit TIF but I converted to 8-bit JPG so I could upload the file.

The code I'm using is below. I'm just a few days with using MATLAB and I'm having issues getting just this simple piece of code working. I get errors starting on line 3

originalImageX = imread('10mgml.tif'); 
originalImage = rgb2gray(originalImageX);
imagedetails = ifinfo;
display (imagedetails)
binaryImage = originalImage ;
binaryImage = imfill(binaryImage, 'holes');
labeledImage = bwlabel(binaryImage, 8);
blobMeasurements = regionprops(labeledImage, originalImage, 'EulerNumber'); 
numberOfBlobs = size(blobMeasurements, 1);

The errors that I'm getting.

Error using rgb2gray>parse_inputs (line 80)
MAP must be a m x 3 array.

Error in rgb2gray (line 52)
isRGB = parse_inputs(X);

Error in TestscriptforMatt (line 3)
originalImage = rgb2gray(originalImageX);

Thanks for the help everyone.

Answer 1

[Guillaume]

Most likely, your image is already greyscale. What is

size(originalImageX)

?

[Benjamin Baynard]

YOu nailed it. I was checking for the grey scale when it was already grey scale. I've scraped this piece of code and found a better version. Thanks everyone.

[Image Analyst]

Yeah, like below.

Answer 2

[Image Analyst]

originalImageX is already gray scale. Don't call regb2gray() automatically. Do this:

grayImage = imread(fullFileName);
% Get the dimensions of the image.  
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(grayImage);
if numberOfColorChannels > 1
  % It's not really gray scale like we expected - it's color.
  % Use weighted sum of ALL channels to create a gray scale image.
  grayImage = rgb2gray(grayImage); 
  % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
  % which in a typical snapshot will be the least noisy channel.
  % grayImage = grayImage(:, :, 2); % Take green channel.
end

This calls it only if it's a color image and should avoid the error.