Dear friends I'm trying binarise the image, it’ll look best if I cut the black parts out. To avoid any funny edge effects I’ll crop the pattern to a circle, and so our ‘mask’ is drawn below, along with the relevant snippet of Matlab
P = imread('Pattern.png');
P = 1-im2bw(P); % Keep black parts
Nmin = min(size(P));
% Crop into square, then circle
P = P(1:Nmin, 1:Nmin);
[xg, yg] = meshgrid(1:Nmin, 1:Nmin);
P((xg - Nmin/2).^2 + (yg - Nmin/2).^2 > 0.99*0.25*Nmin^2) = 0;
% Create a small border
P = padarray(P, [1 1], 0);
But for some reason I'm having issues with line 7,
Error: File: Try1.m Line: 7 Column: 42
Unbalanced or unexpected parenthesis or bracket.
please help me...
edit:
here is explanation
I assume that you have copied this code from a website. The reason is the following line:
P((xg - Nmin/2).^2 + (yg - Nmin/2).^2 > 0.99*0.25*Nmin^2) = 0;
Notice the >? (which is what #beaker mentioned in their comment) If you check the original code on the website where you found it, there is probably a > instead of > right?
The reason is that in HTML, the > sign is displayed by writing > in the HTML source code. When the website is shown in your browser, it will convert > to the > sign, but apparently when copy-pasting the code, it apparently copied the HTML source code and not the rendered sign.
MATLAB of course can't handle HTML source code, so you have to replace > by > and your code works fine:
P((xg - Nmin/2).^2 + (yg - Nmin/2).^2 > 0.99*0.25*Nmin^2) = 0;
Related
I'm trying to write a code in Image J that will:
Open all images in separate windows that contains "488" within a folder
Use look up tables to convert images to green and RGB color From ImageJ, the commands are: run("Green"); and run("RGB Color");
Adjust the brightness and contrast with defined values for Min and Max (same values for each image).
I know that the code for that is:
//run("Brightness/Contrast..."); setMinAndMax(value min, value max); run("Apply LUT");
Save each image in the same, original folder , in Tiff and with the same name but finishing with "processed".
I have no experience with Java and am very bad with coding. I tried to piece something together using code I found on stackoverflow and on the ImageJ website, but kept getting error codes. Any help is much appreciated!
I don't know if you still need it, but here is an example.
output_dir = "C:/Users/test/"
input_dir = "C:/Users/test/"
list = getFileList(input_dir);
listlength = list.length;
setBatchMode(true);
for (z = 0; z < listlength; z++){
if(endsWith(list[z], 'tif')==true ){
if(list[z].contains("488")){
title = list[z];
end = lengthOf(title)-4;
out_path = output_dir + substring(title,0,end) + "_processed.tif";
open(input_dir + title);
//add all the functions you want
run("Brightness/Contrast...");
setMinAndMax(1, 15);
run("Apply LUT");
saveAs("tif", "" + out_path + "");
close();
};
run("Close All");
}
}
setBatchMode(false);
I think it contains all the things you need. It opens all the images (in specific folder) that ends with tif and contains 488. I didn't completely understand what you want to do with each photo, so I just added your functions. But you probably won't have problems with adding more/different since you can get them with macro recorder.
And the code is written to open tif files. If you have tiff just be cerful that you change that and also change -4 to -5.
I appreciate your help;
This part of the code allows me to plot what I want but I need to assign the outcome(a binary image with >500 area objects) to a variable for further processing
Improved_label = np.zeros_like(label_image)
#props = regionprops(label_image)
for R in regionprops(label_image):
if R.area > 500:
# draw the region (I'm sure there's a more efficient way of doing it)
for c in R.coords:
Improved_label[c[0], c[1]] = 1
#Improved_labe1 = Improved_label > 1
Apparently, there is something wrong with the name "improved" at the beginning of the variable name(not sure why). but anyhow, here are two solutions for this issue. I hope this will be helpful for people with the background in Matlab:
-------------Option A--------------
label2_test = np.zeros_like(label_image)
for R in regionprops(label_image):
if R.area > 1000:
# draw the region (I'm sure there's a more efficient way of doing it)
for c in R.coords:
label2_test[c[0], c[1]] = 1
label2_test = label2_test > 0
plt.imshow(labe2_test)
----------------Option B-----------------
from skimage import morphology
labe1_improved = morphology.remove_small_objects(label_image, min_size=1000)
I'm reading in 3d arrays, subtracting all of them from one of them, and trying to save the results as the same type of arrays. They are all equal sizes to each other, 1888x3520x6.
Here is the piece of code that I have:
[FileName,PathName,FilterIndex] = uigetfile('*.x3d*','MultiSelect','on');
numfiles = size(FileName,2);
FileName{1}
entirefile1 =fullfile(PathName,FileName{1})
Im1 = x3dread(entirefile1);
for j = 2:numfiles
FileName{j}
entirefile2 =fullfile(PathName,FileName{j})
Im2 = x3dread(entirefile2);
J = num2str(j);
strcat('ImDelta', J);
ImDelta = imsubtract(Im1, Im2);
end
I see that I'm creating a character sring by using strcat. But I'm not making it into a new file name. Only one file is resulting at the end of the loop.
(x3dread function is similar to "load" for working with images, only it is specifically written to handle the type of the 3dimention files that I have.)
Any help is appreciated. I'm just a beginner.
I am using Matlab's scene change detection example given on the Mathwork website. The code runs fine till the last leg where is is showing following error:
Error using -
Matrix dimensions must agree.
Error in scenechange (line 65)
edge_diff = abs(mean_blks - mean_blks_prev);
Line of error is:
edge_diff = abs(mean_blks - mean_blks_prev);
I checked the dimensions. They are: 15 1 and 70 1.
Anyone tried the example and got this error? How do I fix this error?
Try this:
len_mean_blks = length(mean_blks);
len_mean_blks_prev = length(mean_blks_prev);
if len_mean_blks < len_mean_blks_prev
padded_mean_blks = nan(len_mean_blks_prev, 1);
padded_mean_blks(1:len_mean_blks) = mean_blks;
edge_diff = abs(padded_mean_blks - mean_blks_prev);
elseif len_mean_blks > len_mean_blks_prev
padded_mean_blks_prev = nan(len_mean_blks, 1);
padded_mean_blks_prev(1:len_mean_blks_prev) = mean_blks_prev;
edge_diff = abs(mean_blks - padded_mean_blks_prev);
end
I have a Visual Studio application with a splash screen image cut into "slices". The positions are specified in the Form Designer so they line up properly on the screen. However, the images are out of place when the application is run on the Chinese version of Windows XP. It looks as if the image slices were "exploded" apart.
What's going on here? Do international versions of Windows have a different meaning of the "top left" coordinate of the picture? How can I force the images to be precisely displayed where I want them?
We found a solution! Apparently the picture boxes stretched out on the Chinese XP PC, but the images they contained did not. The fix was to add code like the following:
Me.PictureBoxIcon.Width = Me.PictureBoxIcon.Image.Width
Me.PictureBoxIcon.Height = Me.PictureBoxIcon.Image.Height
Dim loc As New Point
loc.X = Me.PictureBoxIcon.Location.X
loc.Y = Me.PictureBoxIcon.Location.Y + Me.PictureBoxIcon.Height
Me.PictureBoxAbout.Location = loc
Me.PictureBoxAbout.Width = Me.PictureBoxAbout.Image.Width
Me.PictureBoxAbout.Height = Me.PictureBoxAbout.Image.Height
Hope this helps someone else!
In the OnLoad event of the form, you could always explicitly set the location of each section. If starting at the top left with the first and assuming an array with the images in order:
images[0].Location = new Point(0,0);
for (int i = 1; i < images.Length; i++)
{
images[i].Location = new Point(images[i - 1].Location.X + images[i - 1].Width, 0);
}
That will set the first image to the top left corner and all subsequent images to just after the last image.