Leírás
Teljes funkciólista
| Intensity scale transformation functions | ||
| – Gain / Offset change | ||
| – Normalization | ||
| – Uniformization | ||
| – Lookup mapping | ||
| Thresholding | ||
| – Automatic thresholding | ||
| Min residue, max entropy, isodata | ||
| – Manual thresholding | ||
| Single threshold (absolute and relative) | ||
| Double threshold | ||
| – Histogram-based threshold | ||
| Arithmetic and logic operations | ||
| – Arithmetic operations: | ||
| Add, Subtract | ||
| Multiply, divide | ||
| Copy | ||
| Invert, module, shift | ||
| – Logical and bitwise operations: AND, OR, XOR, NOT | ||
| – Minimum, maximum | ||
| – Pixel compare | ||
| – Histogram equalization | ||
| Convolution | ||
| – Pre-defined filters for | ||
| Edge detection: Laplacian, Gradient, Prewitt, Sobel, Roberts | ||
| Sharpening: Several high-pass filters | ||
| Smoothing: Several low-pass including Gaussian filter and uniform filters | ||
| Gaussian filter | ||
| – Custom kernel filtering | ||
| Kernel creation and management functions | ||
| Non-linear filtering | ||
| – Morphological operators: Erosion, dilation | ||
| Opening, closing | ||
| Thinning, thickening | ||
| Top-hat filters | ||
| Hit-and-miss transform: It detects a particular pattern of foreground and background pixels in an image | ||
| Morphological distance | ||
| – Median filter | ||
| Geometric transformations | ||
| – Image registration (alignment) | ||
| – Horizontal and vertical mirroring | ||
| – Translation, scaling and rotation with optional interpolation | ||
| – LUT-based (un)warping | ||
| Vector operations | ||
| – Projection | ||
| – Profile: sampling (line segment, path, contour) and analysis | ||
| Statistics | ||
| Measurement of: | ||
| – Area, binary moments | ||
| – Weighted moments | ||
| – Gravity center | ||
| – Pixel count and pixel statistics | ||
| – Minimum and maximum gray-level value | ||
| – Average, variance and standard deviation | ||
| – Histogram computation and analysis | ||
| – Image focus | ||
| Noise reduction and estimation | ||
| – Spatial noise reduction | ||
| Convolution | ||
| Median filters | ||
| – Temporal noise reduction | ||
| Recursive average | ||
| Moving average | ||
| Average | ||
| – Noise estimation | ||
| Root-mean-square noise | ||
| Signal-to-noise ratio | ||
| Operation on interfaced video frames | ||
| – Elimination of the interlaced images artifacts by rebuilding or re-aligning fields | ||
| Feature point detectors | ||
| – Harris corner detector | ||
| – Canny edge detector | ||
| Other operations | ||
| – Overlay | ||
| – Scalar gradient | ||
