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I have tried manual detection using LS polynomial fitting here. But that cannot be used in my project as mine has to be a fully automated system.
Take a look at the Scale-Invariant Feature Transform, or SIFT. This video explains it well. You "train" a detector with one or more images of eyelids, and the detector locates similar regions in the input images. It's the de facto general purpose feature detector - although more specialized tools like face detectors are faster.
The "Scale-Invariant" part means that it can detect the same object at different sizes and rotations.
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I would like to use the Autonomous Driving Toolbox in Matlab. But I prefer to know more abou it before I buy it. For instance, is it possible to customize some modules in the toolbox with some different algorithms than the default? For example, in the motion planning section of the toolbox, there's only one planner module provided by Matlab called "pathPlannerRRT" which implements the RRT algorithm for path planning, is it possible to create another customized planner with another or self-designed algorithm?
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my project is to count White fly in an image using matlab, I'm new to image processing so I don't know where to start from , I searched for papers about the topic but I could't find anything useful , my question is to help me start from a point and if you can suggest some papers can help me , thanks .
There is a lot of research in this area, but not specific to Matlab. Try using google scholar to search for papers with "computer vision counting" or similar keywords.
Richard Szeliski also has a very good, free to download textbook on Computer Vision which could be helpful: http://szeliski.org/Book/. Topics like Feature Detection, Segmentation and Recognition might be useful, depending on your exact problem.
When you have an idea of what you want to do, have a look at Matlab's Computer Vision toolbox: http://au.mathworks.com/help/vision/index.html
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Basically I need to extract the identification number of marathon runners from the image. Till now I was able to get the bib part alone from the whole image. Now I need to extract the numbers from that image:
I need to extract 1430 from the image. I have tried some methods like OCR and blob detection techniques but they are not successfull for all images.
Have you tried using Stroke Width Transform (SWT)? You can find a Matlab implementation of the first stages of SWT here.
Take a look at this example in the Computer Vision System Toolbox.
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Ive been researched Information Visualization techniques application to image collections. I need some image datasets with features. Ideally, would be good find a dataset in a file representing each image attributes value,like this https://archive.ics.uci.edu/ml/datasets/Corel+Image+Features so I could project on my software, but it has been too hard to find, so I am trying to work with matlab algorithms to extract the features. So, I want some datasets.
Here you can find the ImageCLEF 2013 dataset with different features: GIST, Color Histograms, SIFT, C-SIFT, RGB-SIFT and OPPONENT-SIFT.
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I am developing an app in which I need to put my iPhone on any surface and detect the taps on that surface. Please provide me any link or idea regarding that.
Thanks.
See sample code out there for using the accelerometer to detect movement.
Then test varying amounts of detected movement and determine what you think is "tap".
As a suggestion - you could use the accelerometer in the phone to detect vibrations. I'm not sure if it will be accurate enough for you, and you will need to do some processing of the results to filter for the correct type of vibration.
This isn't simple, so if you were hoping for some code or library to do this I don't think you'll find what you need.
If you do manage to do it, you could open source your implementation and help the next person who comes along.