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Image processing

Image processing Image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing usually refers to digital image processing, but optical and analog image processing are also possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging. Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subfield of digital signal processing, digital image processing has many advantages over analog image processing; it allows a much wider range of algorithms to b

OpenCv & Visual Studio 2005 Library Paths

Create New Project and Configure the Library path to Project Using OpenCv and Visual Studio 2005 File -> New Project -> Visual C++ ->Win 32 Select Win32 console app Give name and click Ok and click Finish. Keep Default cording Tools -> Application -> Project & solution VC++ Directories Select include files Brows ->programs files -> opencv -> cv -> include (click open) -> cxcore -> include (click open) -> cvaux -> include (click open) -> ml -> include (click open) -> other lib -> highgui (click open) -> Select library files Opencv -> lib (click open) Opencv -> other lib (click open) Project -> Test -> properties Configuration properties -> C / C++ -> general Additional include Directories include Add above 5 cv.lib ,cvaux, highgui.lib , ml.lib , cxcore.lib Linker -> Input -> Additional Dependencies Type cv.lib ,cvaux, highgui.lib , ml.lib , cxco