I have read pixel values of an raster image using GDAL libraries in visual studio 2010(vc++).
Next is , I have to crop the image (subset) according to the grid given in shape file.
Forget about the grid this time.
I just want to clip square or rectangular area and save to new file.
I have read some documents which suggest about gdal_translate and gdal_warp function to use but it can only be run in python where as i want to use c++.
Please help me as early as possible.
I have solved the problem of cropping the image using VC++ with gdal libraries. I have created VRTDataset of my desired size of raster to be cropped and then save it using CreateCopy().
Related
I have just downloaded the dataset caltech101 and I want to resize the image into the shape of (200,300,3). As I have read, I first need to convert the image into a tensor and then resize it using tf.image.decode_jpeg. But I don't know how to start from scratch with an image and turn it to a tensor.
(I'm a beginner in learning machine learning)
To load an image using TensorFlow, first decode it like so:
image = tf.image.decode_jpeg(...)
To resize it, use the image from the code above, like so:
resized_image = tf.image.resize_images(image, [299, 299])
You can find more on their API documents here.
I would like to be able to use the cpselect matlab tool (or a similar one) with the capability of showing both images (moving image and reference image) in RGB (I only managed to see moving image in RGB and reference image in grayscale).
Could someone point me to an alternative for this tool that would support this or anyway to be able to display both image in rgb in cpselect?
Thanks in advance.
Not sure what you're talking about, and I'm quite confused about your statement. cpselect is image independent. You can show both of them as colour or grayscale or one or the other. The example you're probably looking at is the one that comes with MATLAB: http://www.mathworks.com/help/images/ref/cpselect.html . One image is grayscale, while the other has a pinkish hue.
Here's an example showing both the source and target image as being in colour. I used onion.png that is a colour image that is part of the MATLAB system path:
im = imread('onion.png');
im_rotate = imrotate(im, 35);
cpselect(im, im_rotate);
We get:
I have grayscale satellite image which is processed from spectral data (band classifications). If i use jet colormap in imshow it will show absolute colormapped image. But if i try to imwrite in particular place it is saved like a bluish image. I saw one example in matlab central, but i didnt get. can anyone help me to write my image with colorscaled image.
Matlab central link: http://www.mathworks.in/matlabcentral/answers/25026-saving-grayscale-image-as-it-appears-in-jet-colormap-of-imagesc
there accepted answer link is : http://www.mathworks.com/matlabcentral/fileexchange/7943
I have tried many times, this will show colormaped images in plots (imshow) they didnt write anywhere with colormaped. Now i want to write my image with colormaped.
example code:
I= imread('image path');
imshow(I,'colormap',jet);
imwrite(I,'path','jpg'); /not working
or
imwrite(I,jet,'path','jpg'); /not working
Please help to solve this issue.
When you use imshow the colormap is always adjusted to the range of values in your image. imwrite however assumes your image has a value range of [0,1] if you are using single or double data types. Try to scale your image to the range [0,1] before saving.
If you provide a colormap in the call to imwrite, MATLAB assumes you are using an indexed image. Thus you will have to convert the image to the indexed format first. The following snippet worked for a test image I of mine:
% scale to [0,1]
I = I - min(I(:));
I = I ./ max(I(:));
% Create indexed image
[J,~] = gray2ind(I);
% Save image
imwrite(J,jet,'path','jpg');
Solution by hbaderts worked well for me, but later I found out that some images were still scaled slightly different way from imshow.
However, I might found a reason of an original problem. Just after Matlab starts, its default colormaps (including 'jet') are set to 64 colors (64x3). Then, if any image is shown with a colormap, for example if imshow('cameraman.tif'), colormap('jet') is executed, all default colormaps become 256x3 (can be verified with jetMap=jet; before and after). Then it might happen that an image was written with a colormap different from the one applied to image figure (for example, if a figure called after imwrite).
Finally I found this solution (no image pre-scaling needed):
% Create indexed image, explicitly using 256 colors
imInd=gray2ind(im,256);
% Convert indexed image to RGB using 256-colors jet map
jetRGB=ind2rgb(imInd,jet(256));
% Save image
imwrite(jetRGB,'jet.png');
The images I used have the same color scale now, both the saved one and the one shown in figure.
I have an Autocad drawing which is a plan for land squares where each square contains a number.
I tried to convert it to image by choosing: File --> Export Data --> and file format Bitmap (bmp). (I have Autocad 2013 Mac version)
the file converted to image, but the quality is too bad, I can't see the land numbers inside the square when I zoom in the image.
I tried also with Postscript (PS file format), quality is a bit better but it's still bad.
Is there away to convert Autocad file to image but still preserve it's high quality details
I need to convert the file to image because I would like to publish it online on my website. maybe there other was to publish autocad file on line, if so, please advice. But the trick I want the background of the autcad (plan) to be transparent so that I could display it on top of Google maps. I if I used autocad plugin I can't make it transparent. right?
Use the PLOT (for the current drawing) or PUBLISH (for batching) commands to produce high quality images.
I have an rgb image data in the first 3 channels of a uchar4 array. Is there a function that I can utilize in CUDA libraries in order to save this uchar4 format as an RGB image, or is there another way for saving RGB images in CUDA?
Saving RGB image data to a file does not involve CUDA. You use CUDA to process your data in whichever way you desire.
Once that is done and you have achieved a result, copy your RGB data back to the host and save it. You can basically pick whatever your favorite routine/library is to save RGB data to a file. Boost.GIL as recommended by Roger Dahl does seem to be a nice option indeed.
As such, there is no particular functionality within CUDA that allows you to save your image data to a file.