|
MVLib is a royalty-free, maximum performance library of C++ classes for the Machine Vision industry. The library utilizes the high performance MMX-optimized Intel IPP suite of image processing functions for maximum run time performance. It is compatible with Windows Visual Studio C++, .NET, MFC and WinAPI |
|||||
| Object Finding and Pattern Recognition | |||||
|
Sub-pixel accuracy, arbitrary template/image size and rotation angle. Occluded object finding. Sub-pixel edge locations, inside/outside calipers, centroid finding. Image Registration. Register image with fiducials or CAD output for precise positioning
|
|
||||
| Frequency Based Filtering | |||||
|
Low pass, high
pass, band pass high-speed FFT filters
|
|||||
| Edge Detection | |||||
|
|
|||||
| Image Filtering | |||||
|
Canny, Scharr, Sobel, Roberts, Laplacian Convolutions, pyramid, morphology, smoothing, etc. Connectivity & Contour Analysis. Blob analysis: count, area, centroid, bounding box. Thinning (Skeletonization) |
|||||
| Grayscale erode: | |||||
|
|
|||||
| Real-time Plotting | |||||
|
Histogram Analysis Multiple peak finding, gray level segmentation, bimodal thresholds. |
|||||
| Geometric Transforms | |||||
|
Optical Distortion Corrections. Radial and tangential distortion correction using calibration templates |
|||||
| Click here for MVLib pricing and licensing terms. | |||||