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Closed 10 years ago.
I don't know if the question is well suited for stackoverflow but also it's hard to fit it to image processing.
Question is about lighting setups in computer vision systems.
Can someone provide reference to materials about lighting setups. When to use backlight, darkfield etc. How to improve features detection by lighting tricks.
I know that good lighting makes image-processing easier and want to get familiar with theory about it.
Transform your image into the Lab color space. The l channel represents the lighting.
Related
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 9 years ago.
I have 130 objects.Each object is defined by 13 points(2-d points),these 13 points form data_unit. Thus there are 130 data_units. I want to classify these data_units into 4 classes. How can we do this.k-means is not possible in this scenario what are the alternatives.
There is a whole set of classification methods based on technique called machine learning. The ones implemented in OpenCV are described here. You can try for example Support Vector Machines. Its a nice and fairly easy in use method, with some tricks to get past data that cannot be linearly separated.
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 10 years ago.
I took a picture from iPhone camera.Now I want to scan the image like X-Ray scanning. Let consider I took a picture of an arm and then by programming/Algorithm it will scan the photo and will display the bone inside the arm. Are there any image processing library which can do similar type of thing?
I have tried to get the upper thing by several things provided by apple using core image but did not get anything which I am looking for.
https://developer.apple.com/library/mac/#documentation/graphicsimaging/Conceptual/CoreImaging/ci_intro/ci_intro.html
Does anybody have any solutions regarding this?
Thanks
No. What you are asking for is fundamentally impossible -- the iPhone camera cannot see through solid objects. (And I can't believe I just had to say that.)
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 10 years ago.
I recently found this app, called Atoms in Motion, I want to use the same kind of visualisation in a different app, does anyone know how the real-time visualisation would be done, or have any suggestions for a language I could use to do this? The user needs to be able to interact with the app, for example in Atoms in Motion you can swipe your finger to increase the temperature.
Cheers for any help
http://www.raywenderlich.com/457/intro-to-box2d-with-cocos2d-tutorial-bouncing-balls
In a few words,
1) download cocos2d-iphone
2) use chipmunk or box2d (both included in cocos2d-iphone) to simulate mechanics you need.
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 10 years ago.
I have installed mahout and test run several examples; would it be safe to say that one of Mahout's advantages it being used for unstructured data (scalability aside)?
No... most of the algorithms take fairly specifically structured input like vectors or user-item pairs. There are some tools for vectorizing text docs which are unstructured. But no I wouldn't call it a tool primarily for unstructured data.
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Closed 11 years ago.
I'm looking for a programming language that would scale well on multiprocessors and distributed systems, and is able to work well with the GPU for number crunching.
What do you think, is Erlang and CUDA a good match?
LE: I want to use it for image processing: feature detection, bundle adjustment and scene reconstruction; so it's fairly parallel. The GPU would do the computational intensive part and Erlang would just manage the tasks and shuffle data around.