I want to be able to input an image and get out an Array such as {{55,132,97},{55,125,97},} for an image, 1 Array per pixel
what I need help with is how would I go about this? I would prefer lua but I could also use C# and python
also what libraries or whatever they are called would I need?
Related
I have an read image got with the imread function.
Now, I need to create a random number of images with noise, appling the noise function.
The main problem is: The amount of images will be random. so I tried to create a cell array and store the images in each position (array(1)=img1, array(2)=img2, and so on). But using it, the array(1) and so on doesn't let me work with my image.
So how can I really put all of them in a array and use them normaly?
Tank you!
MATLAB and Octave have pretty much the same language.
Please try the following:
for i=1:length(images)
array_of_images{i}=images(i);
end
I think it should work something similar or exactly this
Hi i want to transform a image like this (right to left image ):
I have searching about functions like cvCartToPolar but i dont know how to use it..
Can someone help me? :)
nowadays, there is cv::warpPolar and if you can't achieve what you want (because for example your input image is only part of a disk, you might be interessed in cv::remap (the former uses the later internally).
In the later case, you have to build the mapping table yourself with some math.
I am working in C++ and I have a vector container of float values. I want to write an image file to disk where the pixel values of the image are the values from the array.For instance I have 40,000 values in my array and I want a 200x200 image file to be created in some format(the format is not very important, however, I would prefer something with lossless coding if possible). I would like to do this using Intel's libraries, IPP. Can somebody tell me which function would be most appropriate for my problem.(At present I'm sticking only to grayscale images.)
One way would be to just write it out as space delimited numbers in a file.raw, and load it with ImageJ. ImageJ will give you an option to specify width, height and bit-depth.
Second, one I have dome in the past, is (if you use Matlab too), use matlab engine commands to figure(data), and then used getframe/get(gcf) etc. to imwrite it to your fav. image format (Matlab has tons of them)
If there is a given 2d array of an image, where threshold has been done and now is in binary information.
Is there any particular way to process this image to that I get multiple blob's coordinates on the image?
I can't use openCV because this process needs to run simultaneously on 10+ simulated robots on a custom simulator in C.
I need the blobs xy coordinates, but first I need to find those multiple blobs first.
Simplest criteria of pixel group size should be enough. But I don't have any clue how to start the coding.
PS: Single blob should be no problem. Problem is multiple blobs.
Just a head start ?
Have a look at QuickBlob which is a small, standalone C library that sounds perfectly suited for your needs.
QuickBlob comes with a small command-line tool (csv-blobs) that outputs the position and size of each blob found within the input image:
./csv-blobs white image.png
X,Y,size,color
28.37,10.90,41,white
51.64,10.36,42,white
...
Here's an example (output image is produced thanks to the show-blobs.py tiny Python utility that comes with QuickBlob):
You can go through the binary image labeling the connected parts with an algorithm like the following:
Create a 2D array of ints, labelArray, that will hold the labels of the connected regions and initiate it to all zeros.
Iterate over each binary pixel, p, row by row
A. If p is true and the corresponding value for this position in the labelArray is 0 (unlabeled), assign it to a new label and do a breadth-first search that will add all surrounding binary pixels that are also true to that same label.
The only issue now is if you have multiple blobs that are touching each other. Because you know the size of the blobs, you should be able to figure out how many blobs are in a given connected region. This is the tricky part. You can try doing a k-means clustering at this point. You can also try other methods like using binary dilation.
I know that I am very late to the party, but I am just adding this for the benefipeople who are researching this problem.
Here is a nice description that might fit your needs.
http://www.mcs.csueastbay.edu/~grewe/CS6825/Mat/BinaryImageProcessing/BlobDetection.htm
i would like to know how can i cut a jpg file using a coordinates i want to retrieve using artoolkit and opencv, see:
Blob Detection
i want to retrieve coordinates of the white sheet and then use those coordinates to cut a jpg file I'm took before.
Find this but how can this help?
How to slice/cut an image into pieces
If you already have the coordinates, you might want to deskew the image first:
http://nuigroup.com/?ACT=28&fid=27&aid=1892_H6eNAaign4Mrnn30Au8d
This post uses cv::warpPerspective() to achieve that effect.
The references above use the C++ interface of OpenCV, but I'm sure you are capable of converting between the two.
Second, cutting a particular area of an image is known as extracting a Region Of Interest (ROI). The general procedure is: create a CvRect to define your ROI and then call cvSetImageROI() followed by cvSaveImage() to save it on the disk.
This post shares C code to achieve this task.