Image Analysis TRIZ Cases

Acquiring A-mode ultrasound RF signals generates patient-specific bone models without radiation exposure or high costs.

Automated camera systems orient toward target fish profiles to reduce manual observation time and improve measurement accuracy.

A cubic casing holds three fish-eye cameras to achieve omnidirectional distance measurement while preventing self-capture in blind spots.

Computer algorithms filter pixel groups to extract remote photoplethysmography signals from skin images for non-invasive physiological monitoring.

Segmenting frames and tracking segments enables clustering based on temporal color variations, resolving illumination reliability issues.

A projection unit forms a pattern light with distinct illumination states to separate background and projection components for distance calculation.

A control unit tracks user motion to present virtual space images while performing distance control on the viewpoint relative to a border region.

Dual recognition processes verify initial obstacle detection results to correct errors and improve accuracy.

A hair rasterization method classifies visible segments into depth buckets to generate a composite overlay for real-time rendering.

An automated curation system generates composite augmented reality highlight reels from selected digital assets.

A substrate inspection apparatus uses a light-guiding member to route illuminating unit light to an imaging device for brightness signal detection.

A monocular vision system segments detection into motion candidate generation and appearance verification modules.

A computer-implemented method acquires virtual object data for augmented reality by identifying exposed components from three-dimensional image data.

A dot arrangement unit adjusts pixel dot placement ratios to enhance image sharpness.

A tomosynthesis control device links reconstruction parameters to tone conversion processing for automatic window value adjustment.

Minutia pattern histograms filter fingerprint galleries without core-point detection, resolving accuracy issues for arch images.

Volumetric analysis of sequential infrared images resolves false alarms caused by two-dimensional spatial ambiguity.

A dimension measurement device extracts length reference images from captured data using a film and lenticular lens assembly.

Dynamic focus scanning eliminates mandatory Scheimpflug condition compliance, reducing system setup complexity while maintaining high measurement accuracy.

A Bayesian tracking system coordinates multiple cameras to maintain continuous object detection across non-overlapping fields of view.

A feasibility setup tool analyzes pass and fail images to generate specific imaging setting adjustments.

A visual alignment tool calculates brightness distribution to determine object center points for precise positioning.

A computer system classifies PD-L1 cells by combining nuclear features with contextual image texture metrics.

A semantic segmentation method constructs a co-occurrence table to fuse pre-trained base class predictions with novel class classifiers.

A 3D measurement device projects striped patterns using a grid and averages luminance values to generate sinusoidal waveforms.

The Adam framework resolves anatomical understanding gaps by decomposing structures progressively through Gray-coded image division.

An intelligent medical image viewing engine analyzes study data to identify attributes and select relevant subsets for clinicians.

A table-image recognition device extracts objects and determines their set, same-row, and same-column relationships to specify the table structure.

A global motion detector groups image blocks to calculate local vectors and determine dominant motion parameters for digital image stabilization.

A medical imaging apparatus with a bath tank and movable measurement device acquires comprehensive data covering the entire measurement target site.

An imaging system registers ultrasound images to anatomical maps using tracked electrode positions.

A multi-view measurement system reconstructs 3D models from registered images to capture precise object dimensions.

Automated sleeping video analysis apparatus classifies lying postures to eliminate manual frame-by-frame review time.

A system combines ultrasonic time-of-flight measurements with infrared image recognition to determine the three-dimensional location of a mobile controller.

An image processing system identifies persons in photos and creates composite images featuring designated individuals.

Visual odometry calculates image transformations to track camera movement, resolving scanning speed and processing complexity trade-offs.

A dynamic lens shading correction method updates gain tables based on image statistics to maintain uniform brightness across varying aperture sizes.

Digital image sensor determines offset between images to update orientation value relative to geographic north.

Calculating residual differences between views reduces memory bandwidth and power consumption while maintaining full view reconstruction capability.

A video display unit transmits live feeds to bridge the sense of distance and foster intellectual creativity across remote locations.

Automated image analysis associates price tags with products, reducing manual inspection time.

Relocating heavy computation to a server reduces battery drain on headsets while metadata ensures accurate virtual object placement.

Double-segmentation voxel structure reduces redundant search areas, achieving 9.1x speed and 13.5x energy efficiency over GPU implementations.

A click-and-go clinical task workflow method alternates navigational and measurement tasks using simple interactions.

A camera autofocus mechanism measures post-focus focal distance to classify photographed objects as real or manipulated.

A photo-based positioning method calculates mobile device coordinates by comparing visual feature elements from captured images against pre-sampled reference data.

Scale-space processing extracts feature points to build identifiers that maintain detection rates above 98% while reducing computational complexity.