I would like to ask a question about get specific area from image. For example, there is a non-geometric object on carpet. And i would like to select this area because in the next steps i will take a instance from non-geometric object and carpet.Instances should be just taken from object and carpet.
I tried to handle it with create square on object but in this situation i have object and carpet.
How can i do it or any information about that?
(I am using Matlab, if there is good practice in Matlab, it will so good...)
Thanks
For this question, i can suggest to search on segmentation. If you are using Matlab, these links will be very helpful;
http://www.mathworks.com/help/images/ref/imfreehand.html
http://www.mathworks.com/help/images/roi-based-processing.html
Thanks
Related
i am a newbie here.. please excuse me for asking a straight forward question as i did not have the right information to do so.
for my question above, can anyone help me to create various shape in matlab?
i know how to make a simple triangle, rectangle in matlab.
what i am looking for is how to create animal patterns in matlab. all i need is the boundary layer (outer layer).
like from a bird / butterfly. something like the picture below.
butterfly wing:
can anyone give me tips / links to help me.
and yes, i also did not have the coding. i am totally lost on how to make the pattern in matlab.
my real purpose was to add mesh pattern into the wings. i have the code for the mesh. all i need is the code on how to make the wing shape.
If you already have the image created by another program, you can import it to matlab using imread. If you then want to get a binary boundary, you can use im2bw.
threshold = 0.7; % you can play with this to get what you want
binary_img = im2bw(imread('PATH\TO\IMAGE.jpg'), threshold);
In matlab versions starting at 2016a there is another function called imbinarize you might want to have a look at.
As for creating patterns from scratch, as already mentioned in the comments, matlab should not be your choice. Unless, of course, you have a well defined mathematical equation or a problem solution to which becomes the boundary. For this you can look into fimplicit, fplot etc..
I go through the help of matlab and I found out that the function "estimateGeometrictransformation" doesn't support "Briskpoints". How can substute it. I have to implement a code to detect matching points. (like I saw in this example http://it.mathworks.com/help/vision/examples/object-detection-in-a-cluttered-scene-using-point-feature-matching.html)
Thank you.
If points is a briskPoints object, you should be able to use points.Location to get the x-y coordinates, and pass them to estimateGeometricTransformation.
This could be a really broad question, but if you can help me with ideas, it would be a great help to me.
I am trying to implement basic path finding algorithm in matlab. I have to create a map where the robot can navigate and also avoid obstacles and reach destination. I have the algorithm fine with me. But am struggling with the gui as I haven't used much of Gui in matlab.
This is the following idea I had.
I created a plot and just defined 4 coods for each obstacle, destination as a circle and a start point. But am stuck when I think how I can detect whether the robot has hit an obstacle or not. One way is to create the equation of line and try to see if the point ever comes to lie on it. But the movement is based ona random generated variable. Thus it is possible for the robot to cross the line and get inside the polygon.
My apologies for bein too elaborate, but can you please tell me the best way to implement this in matlab? It is mandatory to do this in matlab. Please suggest me a better and easy way to program it. Thanks in advance.
If your obstacles are all polygons you could try to use the ray casting algorithm described on the following wikipedia site.
Point in polygon algorithm
With this you should be able to determine if the robot position lies within an obstacle, or you could determine if the next movement will bring the robot into contact with the obstacle.
If you are looking for a simple algorithm that can take care of obstacles inherently i would suggest the potential fields algorithm (can get stuck in certain cases)
Potential Fields
else you can also try the A* algorithm, which is better in my opinion; Good description of A*
I am new to this place. I am doing a project where i use X ray images with known object dimensions. During my scan i want to compare the images with respect to first image to measure the position and orientation errors during my manipulator movement.
1) I use a known object next to my measuring object to check the errors.
How can i compare two or different images with same known objects?
2) I am planning to use matlab toolbox for the further processing. Is it possible to do in matlab? If so can somebody help
3) Is it possible to use POSIT algorithm to just find these errors?
You're asking a fairly complex question, without adding a lot of detail. We can only help you properly if you provide a bit more context, perhaps some examples of images.
By the sound of it: you should use the image processing toolbox.
If you have multiple images of test objects with known objects beside it, it is easiest to use normxcorr2 and friends (see this page for a worked-out example).
If you have a large amount of pictures of the same scene, possibly with rotations, scaling, optical distortions, etc. from image to image, and you still want a sub-pixel accurate estimation of your object's position, perhaps image registration is the better way to go.
But again: you should provide more detail. Only then can we give you a better, less generic answer.
This question already exists:
Closed 10 years ago.
Possible Duplicate:
Object recognition system using matlab
I need help to develop an object recognition system. It needs to identify an object in an image by comparing it with an image in an existing database. For example my database may consist of images of cars, buses, cups, etc. If i give a certain image as an input i want the code to check and tell me whether a car(as in the car in the database) can be found to exist in the input image or not. This is strictly to be implemented in matlab. I have tried correlation, image subtraction and a few other algorithms but to no effect. Thanks in advance.
This is a complex subject, that is really on the bleeding edge of technology, but let me give you a few pointers to help start things out.
Somehow, you need to take into account the different sizes, angles, etc that might be around. A car looks very different if photographed from a few feet away as compared to 50 feet, as would it photographed from the front vs the side.
Edge detection algorithms generally work well at pulling the target object's shape away. Take the edges, identify lines in them, and you can try to compare these lines with those from your model.
Range to objects really makes a huge difference in building a successful algorithm. If you know the difference from the front of the car to the back, it can make all of the difference in the world.
Focus, noise, lighting, etc need to somehow be dealt with, to ensure that the system works well.
All in all, I would recommend taking some image analysis classes, reading several papers on the subject, or at least reading the Wikipedia Article, and then starting to work on your project.
The problem you have described is sometimes called object category recognition or object class recognition to emphasize that you are not trying to recognize a particular object, but a member of a category such as "car" or "person".
One popular approach for solving this problem is called Bag of Features of "Bag of Words". If you have access to the Computer Vision System Toolbox for Matlab, it has functions for detecting SURF features, which can be used for this approach.
Also, a better place to ask this question might be Signal and Image Processing stack exchange.