X-ray Enhancement
Enhancement technology developed in-house to handle the wide dynamic range of X-ray images.
NADE
Non-linear Adaptive Detail Enhancement. Multi-layer enhancement with simultaneous control of detail contrast, sharpness, noise suppression, and halo reduction.
Noise Reduction
Proven filters that suppress noise while preserving edges — including filters dedicated to battery inspection lines.
BM3D
High-quality noise reduction based on block-matching 3D collaborative filtering.
NLM
Non-local means noise reduction that averages similar neighborhoods found across the whole image.
TV Denoising
Total-variation-based noise reduction that strongly smooths flat regions while keeping boundaries.
Guided · Bilateral · Anisotropic Diffusion
Three lightweight edge-preserving filters that run in milliseconds.
AxiClearBattery-specific
Dedicated to cylindrical (jelly-roll) battery cross-sections. Noise reduction that analyzes electrode periodicity and contrast to set its strength automatically.
VertClearBattery-specific
Dedicated to prismatic and pouch batteries. Recognizes vertical electrode structures and adjusts strength by region.
Denoiser ComparisonComparison guide
Seven noise reduction filters compared under identical measured conditions — a guide to what to use when.
Detector Correction
Corrects detector-induced distortions right at acquisition. Quantitative evaluation of correction quality (FFC · BPC) is provided under Image Quality Analysis.
Flat Field Correction
Linear (single-gain) and polynomial (multi-gain) gain correction.
Bad Pixel Correction
Automatic bad pixel detection and correction.
Image Quality Analysis
Standard image quality analyzers for system development and quality control.
MTF
Modulation transfer function (MTF) analysis. Quantifies, by frequency, how sharply the system renders fine structure.
NPS
Noise power spectrum (NPS) analysis. Quantifies the amount and texture of noise by frequency.
DQE
Detective quantum efficiency (DQE) analysis. Combines MTF and NPS measurements into a single dose-versus-image-quality curve.
SRb
Automatically measures basic spatial resolution (SRb) from duplex wire gauge images, based on automatic wire pair detection and dip judgment.
SNR · CNR · gCNR
ROI-based SNR and dSNRn (normalized SNR) analysis, plus CNR and gCNR (distribution overlap).
FFC
Evaluates gain correction quality from flat images — quantifies SNR, non-uniformity, and exposure linearity.
BPC
Detects and classifies bad pixels by type (dead, over/under-responding, non-uniform, noisy, lag) and automatically generates a diagnostic report with defect statistics, judgments, and recommendations.
General Processing Tools
Basic building blocks for image processing algorithms. Inspection blocks such as segmentation and matching are covered in the 2D/3D Inspection module.
Basic Operations · Image Objects
Multi-dimensional image containers and type conversion, crop/pad/resize/binning, arithmetic, logic, and mask operations, statistics and profile extraction — the basic elements of a pipeline.
Geometric Transforms
Coordinate transform tools including flip and rotation, affine and perspective warps, polar and log-polar transforms, B-spline deformation fields, and reslicing.
Enhancement · Histogram
Contrast stretching, gamma and sigmoid remapping, unsharp masking, local contrast enhancement, and histogram equalization, CLAHE, and matching.
Spatial Filters · Morphology
Arbitrary and separable convolution with kernel design, Gaussian/median/moving-average filters, DoG and LoG, edge detection such as Canny and Sobel with gradients and structure tensors, and morphological operations such as erosion and dilation.
Frequency Processing
1D/2D/3D FFT with window functions, Gaussian and Butterworth frequency filters, frequency-domain unsharp masking, and inverse deconvolution.
Miscellaneous
Auxiliary tools outside the main categories — thinning, focus (sharpness) measurement, PVE correction, and point-set sampling.
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