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Operators distributed from Customers
*** New *** This is a new section ! Everybody who writes algorithm compatible with Image++ should contact us !
General
Image++, an object-oriented graphic development tool from Image Integration is designed for professional software developers working in the field of digital image processing as well as for beginners. It was our aim to „get to the heart of the matter" by assisting digital image processing with an intuitive and problem-oriented visualization of the essential steps, so that quick and useful results can be achieved by beginners and professionals alike. Image ++ doesn't only offer the user a large number of effective image processing routines, it also creates the opportunity for the user to combine the different steps of image processsing intuitively, and see interim results figuratively.
Not only that, Image++ additionally provides the source code of the implemented functions as a C++ class library and assists the modification and recompilation with standard C++ compilers, enabling users to modify the quickly obtained solutions to suit their purpose or to use their own solutions. An ex-haustively documented source code in the form of a C++ class library is also included.
Programming in Windows-code isn't always easy. A lot of image file formats have to be read, written and visualized. This often uses up a large part of your valuable working time, when actually all you wanted to do was to get on with the job of image processing! Not any more! Image++ takes care of all those time-consuming steps for you!
Firstly, the user finds a two-part graphic surface. The upper part assists the processing and visualization of image operations, the lower part allows the editing of the accompanying source codes. To perform an image operation, images and operators are loaded as elements of a so-called „operator graph". The positioning of the image- and operator-knots happens inter-actively and the connection between them represents the data flow of each working step, simply produced by „drag and drop" to the next knot. To save space, the pictures are shown at first on a reduced format of 128 x 128 pixel. A display in 256 x 256 or the original size is of course possible.
An operator-knot is implemented as a DLL (Dynamic Link Library), which acts as interface to the outside world. In a typical „Image++ DLL" an image processing routine like „Sobel", „FFT" or „Invert Image" is normally found. To make the user's choice easier, a list-selection element is to be found in each operator-knot with which a valid operator can be loaded.
Apart from that, the operators are available as C++ files and can be infinitely combined with each other, modified or even rewritten. For this purpose, each selected operator is leaded and shown as a C++ code in a separate editing window in the lower half of the application. To test any modifications, a compiler can be started (in the latest version Image++ assists and supports Microsoft and Borland) without having to leave the environment, which produces a new, valid DLL, as long as no errors appear during compilation. This is shown as „Status Change" in the headline of the operator window. The new operator can now be directly per-formed onto an image. An animation shows you which operator is being performed.
Image++ and its associated operator DLLs are fully implemented and carried out in 32 bit. This leads to short performance times and practically infinite picture sizes. Shareware give Image++ a try. The manual also includes an introduction in image processing and data structures for image processing in C++. Data structures include the type image, vector and matrix. The result is an object-oriented, easily expandable software library for digital image processing and a collection of C++ classes. The documented source code is also included. (In the trial version we have only a view source files in C++ code, after registering you receive a password to a access the whole code).
Predefined Operators (in C++ source code)
absolut * image addition * image substraction * logical and operation * logical or operation * logical xor operation * binarisation * binarisation reverse * close operator * open operator * compass filter * general filter * dilatation * dispersion * compass filter * dispersion filter * divide by a constant * multiply two images * erosion * Fast Fourier Transform * FreiChen filter * highpass filter * Sobel filter * Sobel (absolute) * Sobel(amplitude) * histogram equalisation * histogram fit * Hough operator * innerbound filter * outerbound filter * Kirsch filter * Laplace filter * Prewitt filter * Likely filter * lineare contrast adaption * lowpass filter * logical maximum * mean filter * median filter * rank filter * logical minimum * minimum mean square error filter * image rotation * textur analysis * image slice * threshold image * automatic threshold * image shift * color binarisation * RGB to HSI color conversion * HSI to RGB color conversion * rescale RGB values from intensity * calculate intesity from RGB data *
Typically images are read in from a file as image or bitmap image. If you have a Twain source, like a scanner or framegrabber images can be read in directly in Image++.
Color processing of 24bit images is now supported.
The compiler output is displayed in the editor section of Image++. The Menue commands Goto Next or Previous error makes it easy to eliminate the bug within your source code. This could be also achieved by using function keys or the toolbar.
Yes we do!!
The standard version supports English and German. This is done by starting Image++ with a command line switch which spezifies the language. Menues, dialog, tips of the day and help system is dynamically modified.
Shure! Windows help system and context sensitive help are supplied!
System Requirements:
Windows 95, Windows 98 or Windows NT 4.0 or higher · 80486 or Pentium processor with at least 16 MB for Windows 95 or 32 MB for Windows98 and Windows NT · Mouse, graphic card with at least 256 colors · CD-ROM ·10 MB free storage space on harddisc · 32 Bit compiler for compiling routines Borland C++: from version 4.5 and Microsoft Visual C++: from version 2.0
Universities, schools, education, everybody how want's to learn or develop his image processing skills.
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Updated: 5 July, 2006 |