Image Analysis TRIZ Cases

Subdividing high-resolution images into sub-images preserves spatial resolution, reducing memory consumption and computational cost for accurate 3D modeling.

A system transforms display areas between camera and projector coordinate systems using established correspondence relationships.

A model-based optical proximity correction method decomposes target circuit patterns into multiple segments for independent processing.

Graph structure with superpixel nodes estimates image saliency maps, reducing manual annotation costs.

A display apparatus analyzes application image frames to identify similarity and transmits profile requests for video information.

Segmenting virtual environment components reduces network bandwidth consumption while maintaining high graphical realism and minimizing rendering latency.

A microbubble processor detects contrast agents using predetermined size and adjacency criteria to generate precise imaging data.

Correlates environmental and sensor data to detect untrustworthy inputs, resolving the trade-off between remote convenience and physical document authenticity.

A touch panel interface overlays input images with extracted edge data for direct operator editing of graphic elements.

An update unit compares facial image similarity to control registration changes.

A preference analysis system captures visual and spatial data using RGB-D sensors to determine fashion preferences.

A display controller divides the screen into independent regions managed by separate processors.

A classifier generator creates registered image classifiers by replacing weak classifiers from dedicated models with those from general-purpose detectors.

A shopping cart system captures commodity images to identify items and predict purchase demands using neural network models.

Fitting a physiological model to images via marginal space learning reduces processing time and improves alignment accuracy.

A two-stage image processing device detects object parts within a focused range to improve accuracy.

A monitoring system captures image streams of regions of interest based on identified facial cues.

A 3D measurement apparatus detects edge positions and overlap degrees to compute object coordinates using fewer captured images.

A plant alignment method converts two-dimensional image data into three-dimensional coordinates to examine target positions accurately.

Photographing system establishes focal position control values through multi-pattern focus evaluation, resolving liquid lens calibration uncertainty.

A data processing system recursively bisects regions along their minor axis to generate sub-regions with minimal perimeter.

Exemplar descriptors represent pixel properties in image subregions to enable precise object recognition.

Half-wave plates rotate ultraviolet light polarization to eliminate mirror-induced disturbances and improve measurement precision during nanoimprint inspection.

A medical image diagnostic device links range setting patterns to inspection protocols for automatic scan range configuration.

A feedback loop dynamically adjusts shutter speed and luminance based on recognition results, balancing motion blur reduction against noise increase.

Computational superposition of characteristic pattern images generates virtual moiré fringes that reveal panel deformation without physical projectors.

A broadcast platform segments users into delay pools using visual codes to synchronize mobile applications.

A V2X communication system determines vehicle relative location using infrastructure data to retrieve precise lane information.

Tracks audio sources indirectly by monitoring visual objects to resolve location accuracy issues caused by echoes and noise.

A lenticular lens integrates with garment fabric to display interlaced images and trigger augmented reality via fiducial markers.

Segmenting classification into primary and secondary stages reduces processing time while maintaining detection accuracy for resource-constrained systems.

An object recognition device segments image regions to apply distinct processing parameters for varying resolutions.

Multiple landing platforms distribute charging infrastructure, reducing energy consumption during continuous patrolling while maintaining surveillance coverage.

Virtual viewpoint mapping calculates transformed coordinates to resolve depth perception accuracy against rendering calculation complexity.

A weak hypothesis generation apparatus modifies existing high-performance hypotheses to reduce arithmetic operations during ensemble learning.

A spectral algorithm with low-rank semidefinite programming relaxations computes image segmentation vectors from pixel coupling matrices.

Applying a low rank matrix filters low frequency components from time domain matrices, reducing calculation complexity for real-time surveillance processing.

Generates complete mosaic images by extracting and reusing a single template object, reducing memory consumption and processing time on portable terminals.

Neural networks detect image segments and extract text from dockets, eliminating manual data entry errors and reducing review time.

A wheel marking analysis method detects disturbing phenomena by measuring contrast between road markings and the surface.

A medical support device displays selected images of an observation target divided into regions with varying detail levels.

Optical imaging devices capture spatially resolved container closure images for precise dimensional measurement.

A multi-sensory rendering system synchronizes visual, auditory, scent, and haptic outputs to create immersive virtual objects.

Server-side color palette extraction adjusts user interface elements to match video content, resolving visibility issues caused by static designs.

A truncated ellipse head model computes yaw angles using nose position and face boundaries on an elliptic arc.

Simulated contrast agent propagation separates entangled vessels by introducing a time dimension to resolve superimposition.

Automated conversion replaces manual processes by analyzing motion cues to generate accurate depth maps for stereoscopic video rendering.