# eVision

> eVision 26.10.0-beta.2.dev documentation


2026, Euresys

## Pages in this subsection

- [EasyImage - Pre-Processing Images](index.html.md): Overview of EasyImage's gray-level pre-processing functions: thresholding, filtering, geometric transforms, statistics, and feature detectors.
- [Intensity Transformation](intensity_transformation.html.md): Explains EasyImage's intensity transformations: gain/offset, normalization, uniformization, and lookup tables to adjust pixel gray levels.
- [Thresholding](thresholding.html.md): Explains EasyImage's automatic, manual, and histogram-based thresholding methods for segmenting images into bi- or tri-level classes.
- [Profile](profile.html.md): Explains how to sample image profiles along lines, paths, or contours in eVision, and analyze them for peaks and transitions.
- [Arithmetic and Logic](arithmetic_and_logic.html.md): Explains EasyImage's arithmetic and logic operations (Oper) for combining, comparing, and masking image pixels with constants or other images.
- [Linear Filtering](linear_filtering.html.md): Explains EasyImage's linear filtering (convolution) functions, including predefined kernels and how to build a custom EKernel.
- [Non-Linear Filtering](non-linear_filtering.html.md): Explains EasyImage's morphological non-linear filters: erosion, dilation, opening, closing, top-hat, thinning, and hit-and-miss transform.
- [Geometric Transforms](geometric_transforms.html.md): Explains EasyImage's geometric transforms: image re-alignment, mirroring, resizing, scale/rotate, shrinking, and LUT-based unwarping.
- [Noise Reduction and Estimation](noise_reduction_and_estimation.html.md): Explains EasyImage's spatial and temporal noise reduction methods (convolution, median, recursive/moving average) and noise estimation functions.
- [Scalar Gradient](scalar_gradient.html.md): Explains EasyImage's GradientScalar function for computing gradient direction or magnitude maps from a gray-level image using a lookup table.
- [Vector Operations](vector_operations.html.md): Explains EasyImage's vector operations for extracting and analyzing 1D image data via projection and profile sampling of peaks and transitions.
- [Canny Edge Detector](canny_edge_detector.html.md): Explains EasyImage's Canny edge detector, its smoothing scale and hysteresis threshold parameters, for producing a binary edge map.
- [Harris Corner Detector](harris_corner_detector.html.md): Explains EasyImage's Harris corner detector, its integration scale, threshold, and sub-pixel parameters for finding points of interest.
- [Overlay](overlay.html.md): Explains EasyImage's Overlay function for compositing a color or grayscale image onto a color image at a given position.
- [Operations on Interlaced Video Frames](operations_on_interlaced_video_frames.html.md): Explains EasyImage's functions for realigning, rebuilding, deinterlacing, and interlacing video frames to remove interlacing artifacts.
- [Computing and Using Image Statistics](computing_image_statistics.html.md): Explains EasyImage's tools for computing sliding window statistics, histograms, equalization, focus measurement, and pixel statistics.
- [Fourier Transform](fourier_transform.html.md): Explains EasyImage's Fourier transform for converting images to the frequency domain, and its Packed and Complex Extended formats.
- [Gabor Filter](gabor_filter.html.md): Explains EasyImage's Gabor filter for texture analysis, detailing its sigma, gamma, theta, lambda, and psi parameters.
- [HDR Fusion](hdr_fusion.html.md): Explains EasyImage's HDR fusion, which merges multiple exposures and tone-maps them, detailing the Debevec, Robertson, and Mertens mergers.
- [Image Stitching](image_stitching.html.md): Explains EasyImage's EImageStitcher for combining overlapping images, covering grid setup, incremental mode, learning, and debugging.

## Optional

- [Top-level llms.txt](../../../llms.txt): Complete documentation index.