Signal and Image Processing Library (Free)

The Signal and Image Processing Library is a free collection of general-purpose, optimized C++ routines and classes for signal and image processing along with utility classes to aid image and video file manipulation. These routines are typically used in computationally intensive real-time applications, where optimal execution speed is critical. The library also provides efficient implementations for the most common datatypes used in signal and image processing applications.

Function Categories in the Library

Pointwise operations

Pointwise transformation, normalization and thresholding

Spectral processing

Spectral processing based on the Fast Fourier Transform (FFT) and inverse FFT

Linear filtering

Convolution, correlation, FIR and IIR filtering

Nonlinear filtering

Minimum, maximum, median, alpha trimmed mean, OS filtering

Binary morphology

Erosion, dilation, opening, closing, hit-and-miss, convex hull, skeleton, hole filling, pruning, thickening, thinning, object reconstruction, object shifting

Grayscale morphology

Grayscale erosion, dilation, top-hat and h-dome transformation with arbitrary structuring elements [available in the next release]

Pattern matching

Binary and gray-scale pattern matching with displacement calculation

Histogram analysis

Image histogram calculation, equalization, and statistical analysis

Feature detection

Object sorting, Sobel and Canny type edge detection

Feature extraction

Binary image indexing; area, major axis, minor axis, eccentricity, equivalent diameter, orientation, extention, centorid, bounding box and extrema calculation

Statistical analysis

Calculation of sum, min, max, mean, avg, rms, h-mean, skew, etc.