image-recognition

I trying to train haar cascade classificator for card suite detection (which no rotation and has no distortion on image) For example I have file Clubs.png which contents clubs image on white background 20x20 pixels This tutorial is so tangled http://note.sonots.com/SciSoftware/haartraining.html My image varies only in sizes, no distortion or angling. Which commands I must enter in aim to get Clubs.xml file? George Profenza As @Neon22 mentioned, great tutorial. From my experience, it's quite a lengthy process(collecting positive and negative samples, training, generating haar cascade), but then

I've been searching for resources for number recognition in images on the web. I found many links providing lots of resources on that topic. But unfortunately it's more confusing than helping, I don't know where to start. I've got an image with 5 numbers in it, non-disturbed (no captcha or something like this). The numbers are black on a white background, written in a standard font. My first step was to separate the numbers. The algorithm I currently use is quite simple, it just checks if a column is entirely white and thus a space. Then it trims each character, so that there is no white

To give you some background as to what I'm doing: I'm trying to quantitatively record variations in flow of a compressible fluid via image analysis. One way to do this is to exploit the fact that the index of refraction of the fluid is directly related to its density. If you set up some kind of image behind the flow, the distortion in the image due to refractive index changes throughout the fluid field leads you to a density gradient, which helps to characterize the flow pattern. I have a set of routines that do this successfully with a regular 2D pattern of dots. The dot pattern is slightly

I'm looking for a Java library for circle recognition in a supplied bitmap. My Java knowledge is too basic to implement eg. Hough transform efficiently (Java newbie). Thanks! You might want to have a look at the implementation in ImageJ, see here . Sorry for posting this answer many years after the fact, but that question was asked again in 2012 and then closed for being a duplicate. As I said in my answer to that duplicate, I think the answer given here is overkill for such a simple problem, so is my simpler solution: Find all connected green blobs. This is not completely trivial, but not

I need the ability to verify that a user has drawn a shape correctly, starting with simple shapes like circle, triangle and more advanced shapes like the letter A. I need to be able to calculate correctness in real time, for example if the user is supposed to draw a circle but is drawing a rectangle, my hope is to be able to detect that while the drawing takes place. There are a few different approaches to shape recognition, unfortunately I don't have the experience or time to try them all and see what works. Which approach would you recommend for this specific task? Your help is appreciated.