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Open eVision
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General Features
Development Tools
Open eVision Studio
Libraries
General-purpose
EasyImage
EasyColor
EasyObject
EasyMatch
EasyFind
EasyGauge
Mark Inspection
Open eVision
Data Sheet
Open eVision Eval
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Image processing
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Main Features
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Typical Applications
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Convolution and morphology
Geometric transformations
Image statistics
16-bit accuracy processing
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Image enhancement
Image restoration
Presence / Absence check
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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, ...
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Functions
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Intensity Scale Transformation Functions
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- LUT mapping
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- Gain / Offset change
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- Normalization
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- Uniformization
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Manual and Automatic Thresholding
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- Simple and double threshold
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- Absolute, relative, minimum residue, maximum entropy
and isodata threshold selection
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Arithmetic and Logic Operations
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- Arithmetic operations:
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Add, Subtract
Multiply, divide
Copy
Invert, module, shift
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- Logical and bitwise operations:
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AND, OR, XOR, NOT
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- Minimum, maximum
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Convolution - linear filtering
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- Pre-defined and optimized filters for
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Edge detection:
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Laplacian, Gradient, Prewitt, Sobel, Roberts
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Sharpening:
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Several Highpass filters
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Smoothing:
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Several Lowpass and Uniform filters
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Gaussian filter
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- Custom kernel filtering
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Kernel creation and management functions
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Morphology - non-linear filtering
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- Pre-defined and optimized operations for
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Erosion, dilation
Opening, closing
Thinning, thickening
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- Median filter
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- Distance function
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Geometric Transformations
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- Image registration - alignment
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- Horizontal and vertical mirroring
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- Translation, scaling and rotation with optional interpolation
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- General affine transformation with optional interpolation
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- LUT-based warping
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Histograms
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- Histogram extraction and analysis
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- Histogram equalization
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Contour
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- Contour following
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Projection
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- Projection of an image into a 1D vector
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Statistics
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- Measurement of
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Area, binary moments,
Weighted moments,
Gravity center,
Pixel count,
Minimum, maximum value,
Average, variance and standard deviation
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Noise Reduction by Integration
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- Recursive averaging
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- RMS noise and Signal to Noise ratio (SNR) measurement
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De-interlacing
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- Eliminate interlaced images artifacts by rebuilding
or realigning fields
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Focusing
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- Image focus measurement
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