E-Catalog > Vision > EasyImage

Key Features

● Set of optimized fundamental image processing and analysis functions
● Convolution and morphology
● Geometric transformations
● Histogram computation and analysis
● Noise estimation and reduction
● HDR (High Dynamic Range) image fusion

EasyImage Description

• EasyImage includes operations usually performed as pre-processing steps to improve the image quality and obtain a good contrast between the background and the objects to be inspected.
• EasyImage supports gray-level and color images. Selected morphology functions are also optimized for binary (1-bit per pixel) and bi-level images.
• EasyImage includes numerous image processing functions, such as enhancement and restoration by linear or non-linear filtering, arithmetic and logic operations, geometric transformations for image registration, histogram analysis for thresholding, projection, ...

EasyImage includes the following functions:

• Gain / Offset change: Normalization, Uniformization, Lookup table mapping
• Thresholding: Automatic thresholding, Min residue, max entropy, isodata, Manual thresholding; Single threshold (absolute and relative), Double threshold, Histogram-based threshold
• Arithmetic operations: Addition, Subtraction, Multiplication, Division, Copy, Invert, Module, Shift
• HDR (High Dynamic Range) image fusion
• Logical and bitwise operations: AND, OR, XOR, NOT
• Pixel comparison, Minimum, maximum
• Histogram equalization
• Linear filtering: Edge detection (Laplacian, Gradient, Prewitt, Sobel, Roberts filters), Sharpening, Smoothing (Gaussian and uniform filters). Custom kernel filtering: Kernel creation and management functions.
• Non-linear filtering: Morphological operators (Erosion, Dilation, Opening, Closing, Thinning, Thickening, Top-hat filter, Hit-and-miss transform, 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 focusing
• Noise estimation and reduction: Spatial noise reduction (Convolution, Median filters), Temporal noise reduction (Recursive average, Moving average, Average), Noise estimation (Root-mean-square noise, Signal-to-noise ratio)
• 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

• EasyImage Data Sheet