I am following the Semantic Segmentation Examples tutorial by MathWorks.
I understand that I can load pixel labeled images
pxDir = fullfile(dataDir,'buildingPixelLabels');
Define the class names.
classNames = ["sky" "grass" "building" "sidewalk"];
Define the label ID for each class name.
pixelLabelID = [1 2 3 4];
and create a pixelLabelDatastore.
pxds = pixelLabelDatastore(pxDir,classNames,pixelLabelID);
But, how do I create a custom pixel labelled image where every pixel value represents the categorical label of that pixel?
I would then proceed by writing:
pxDir = fullfile(dataDir,'myCustomPixelLabels');
If I understood correctly, imageDatastore holds the actual image and not the pixel labels for that image.
EDIT:
On my system pxDir points to 'C:\Program Files\MATLAB\R2017a\toolbox\vision\visiondata\buildingPixelLabels'. Since I am on Matlab2017a so this example is not included by default, and I cannot compare or view the file to get a better understanding of what I need to do to reproduce this example.
The answer can be found here.
Matlab 2017a
Go to the APPS tab, and search for Image Labeler, or Training Image Labeler
Click on Add Images to add your training images.
Click on Add ROI Labels to add class names for the regions of interest.
Proceed to select the regions of interest manually from the uploaded images.
Once areas are selected, the data can be exported to workspace as a Ground Truth object.
Related
From Apples documentation I read:
An alternative to creating bitmap images is to use template images or symbol images instead. Template images specify the shape you want to draw, but not the associated color information. Symbol images are similar to template images but are vector based, so they scale to different sizes. Both types of images simplify the process for supporting Dark Mode. They also reduce the number of image assets you must ship with your app.
Do I understand this correct that I can not use a vector based symbol image set as a replacement for bitmap but scalable?
Update
My situation:
I've an Image Set in my iOS project. There I can add three bitmaps for the three scaling options iOS devices support. Those images must be of type *.png
Now I would like to replace those three bitmaps with a single vector graphic file *.svg. This seems not possible. If I want to use vector graphic images I've to add another asset type called "symbol image set" (Xcode -> Editor -> Add Assets -> New Symbol Image Set).
So far so good but now my question. Those "symbol image set" assets only the the shape but not the color information into account. That's why I would like the "old" way where the color information is taken into account but the file being a vector graphics file (*.svg).
You don't actually need a Symbol Set for what you are trying to achieve.
All you need is a vector image in pdf format, marking it as Single Scale
Then, you can mark the asset as template (meaning you can tint it with any color) or original if you want to retain its original colors.
Finally, note that although you supply vector images, Xcode by default will produce png versions for all scales behind the scenes. If you need to preserve the vector data (which can help in some cases where you need to upscale) you can enable Preserve Vector Data as well.
To clarify this at the beginning:
With image inside the mask of subsystem i do NOT mean an image drawn onto the block, but rather an image one can add to the mask:
Is there a way to bind the image to the block? In case I want to distribute my model, I don't want to have to share every image used in it.
For an image drawn onto the block I found a solution here, that is storing the image inside the UserData of the block, but I can't find an option to change the properties of images used inside a mask.
This might be a bit too late, but having the same problem I 'fixed' it by including the image and its alpha values in the 'UserData' parameter, checking if the image already exists in the current folder, and if not creating it from the userdata:
if ~exist('ARMicon.png','file')
maskParams = Simulink.Mask.get(gcb);
armim = maskParams.getDialogControl('armPic');
ud = get_param(gcb,'UserData');
imwrite(ud.ARM,'ARMicon.png','Alpha',ud.alpha);
armim.FilePath = 'ARMicon.png';
end
Hope this helps.
Quote out of my correspondence with the MathWorks Technical Support:
Unfortunately, it is currently not possible to specify a mask dialog image without providing a file path and a separate image file. This has been brought to the attention of the development team as a possible enhancement for a future release.
This refers to Matlab / Simulink 9 (2016a).
I already made the image registration, and now I want to apply the registered image in rgb because I need to extract the countourr. As the imregister just work with grayscale images I converted my image to grayscale,but now I can´t find the intensity value of the contour to find the contour indexes. Wat kind of algorithm does imregister applies to the image, tochange the intensity value of the pixels? Or there is another way to go back to the rgb image to extract the inicial countour in the registered image? Does anyone have any sugestion?
There is my matlab code :
% Algorithm for image validation
% Open the two images which will be compared
name2=input('Image name ( automated segmentation) ','s');
img_automated=imread(name2,'png');
figure (1), imshow(img_automated), title('Image automated')
name=input('Image name ( manual segmentation) ','s');
img_manual=imread(name,'png');
img_manual_gray=rgb2gray(img_manual);
%img_manual_gray=img_manual(:,:,3);
figure (2), imshow (img_manual),title('Image manual')
img_automated_gray=rgb2gray(img_automated);
%img_automated_gray=img_automated(:,:,3);
%img_double=im2double(img_automated_gray);
figure (3), imshow (img_automated_gray), title (' Image converted to double ');
%img_automated_gray2=rgb2gray(img_automated);
% View images side by side
figure (6), imshowpair(img_manual,img_automated_eq,'diff')
title('Images overlap')
%% Configure parameters in imreconfig
[optimizer,metric]=imregconfig('Multimodal');
%% Default registration
registered=imregister(img_automated_gray,img_manual_gray,'rigid',optimizer,metric);
%tform = imregtform(img_automated,img_manual,imref2d,'affine',optimizer,metric)
figure(7), imshowpair(registered, img_manual_gray,'falsecolor'); title('Default registration');
figure(8), imshowpair(registered, img_manual_gray,'montage','Scaling','independent'); title('Default registration');
figure(9), imshow(registered);
C = imfuse(registered,img_automated);
figure(21);imshow(C);
%%%%%%%%%%%%%%% Here%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%I tried this process to recover the transformation applied in the registered image,and them aplly this in the initial automated rgb image,but B isn't the same as the registered image. Any suggestions??
tform = imregtform(img_automated_gray,img_manual_gray,'rigid',optimizer,metric);
B = imwarp(img_automated,tform);
figure(22);imshow(B);
Links to the images:
https://www.dropbox.com/s/xbanupnpjaaurj5/manual.png?dl=0 (manual- rgb)
https://www.dropbox.com/s/6fkwi3xbicwzonz/registered%20image.png?dl=0
You are on the right track with your use of imregtform. The missing piece is that imwarp, by default, chooses an output grid with the same resolution as the input grid with limits big enough to capture the entire output image.
In most registration cases, this is not what you want. What you want, is to specify the 'OutputView' Name/Value to specify the resolution and limits that you want in the output grid. In many registration use cases, this is the resolution/limits of the fixed image:
tform = imregtform(img_automated_gray,img_manual_gray,'rigid',optimizer,metric);
B = imwarp(img_automated,tform,'OutputView',imref2d(size(img_manual_gray)));
figure(22);imshow(B);
I am creating a GUI containing an image using the following code:
try
Imagenamehere = imread('Imagenamehere.jpg');
axes(handles.Logo)
image(Imagenamehere)
set(gca,'xtick',[],'ytick',[])
catch
msgbox('Please download all contents from the zipped file into working directory.')
end
The image shows up but for some reason is completely coloured blue as if put through a blue filter. I don't think it would be wise to upload the image but it is a simple logo coloured black and white.
Anyone know what could be causing this?
Check the size, type (probably uint8) and range of your image. It sounds like for some reason your images are being displayed with colormap as jet (the default), and possibly also that your range is not what MATLAB expects (e.g. 0 to 1 not 0 to 255), resulting in all your values being relatively low (blue on the jet colormap).
"black and white" is just one way of interpreting an image file which contains only two colors. MATLAB makes several assumptions when you pass data into a display function like image. If you don't specify colormap and image data range, it will make a guess based off things like data type.
One possibility is that your logo file is an indexed image. In these cases you need to do:
[Imagenamehere map] = imread('Imagenamehere.jpg');
colormap(map);
I have an image. I would like to equalize histogram using histeq. But, I want only certain portion of the image be equalized and the rest part be displayed as it is. I could display the whole image and equalized image in two different plots but I want them to be in the same image such that certain portion of the image is different.
figure
imshow(a)
figure
b = a(1:100, 1:100);
b = histeq(b)
imshow(b)
Now how do I merge both these figures into one.
Is the region to be equalized a(1:100, 1:100)?
If so, just set a(1:100, 1:100) = b.