Image Analysis TRIZ Cases

Automates dry eye type classification by extracting RGB and luminance values from tear film interference fringes, eliminating observer subjectivity.

A terminal device updates image grouping similarity thresholds based on user extraction or addition operations.

A control unit generates an existence map to classify regions by sample likelihood and creates imaging sequence information for prioritized capture.

Information processing system displays comparison results of shaped article measurements on a three-dimensional model.

A camera control apparatus segments images to identify authentication targets and determines capture order based on assessed image states.

A stereo camera object detection unit extracts three-dimensional objects from left and right images to identify combination candidates for vehicle recognition.

A portable electronic device uses 2D and 3D imaging sensors to analyze bovine gait patterns for lameness detection.

A reading system processes segment display characters through binarization, line thinning, and score calculation to identify text.

A parallax detecting apparatus modifies images to approximate point spread functions across optical systems.

An information processing apparatus selects between sensor and world coordinate systems to control image display on a position-sensed display.

Dynamic search area expansion resolves detection failures when occupants move outside fixed regions.

Segmenting the body into independent key joints reduces computational complexity while maintaining recognition capability in embedded systems.

Processor system defines real-view area boundaries using head tracking data to reduce rendering latency below 50 ms and prevent motion sickness.

A responsive display system detects obstructing objects and rearranges graphical elements to unobstructed areas.

Varying stripe widths resolve deflection errors during deep object scanning, ensuring accurate depth recovery.

Segmenting the wave front into central and peripheral regions reduces noise and accelerates convergence during iterative reconstruction.

An optical position sensor captures split refracted or reflected light patterns from a cellulose-based film surface to identify material modifications.

Automated image analysis identifies sales associates in retail settings, replacing manual memory-based tracking with precise commission apportionment.

A detection apparatus generates an essential matrix using feature point pairs and derived point pairs separated by specific distances.

A vehicle abnormality detection device calculates correlation values between optical sensor reflection images and camera captured images to identify component faults.

A background scanning process captures 3D object data automatically within extended reality environments without requiring active user interaction.

Vertex segmentation enables topology-aware color diffusion on text and shapes, overcoming fixed gradient limitations in conventional rendering applications.

Replacing refractive lenses with a diffractive optical element reduces manufacturing complexity and cost while maintaining optical performance.

Selective parameter extraction prevents data leakage from sensitive training sets while enabling efficient collaborative learning aggregation.

Segmenting spectral databases by appearance state reduces matching time while maintaining accuracy across diverse substance types.

A tutorial generation system analyzes digital image modifications to produce animated tutorials and publishes them via deep links.

A motion estimation method uses distance maps to locate candidate lines through local minima points for accurate pattern matching.

A video communication device adjusts display range and position based on physical installation data to simulate a realistic partner presence.

An image simulation system partitions captured imagery to generate virtual views at distinct resolutions and vantage points.

Stable scene detectors filter image frames using sharpness and motion metrics, reducing battery consumption while maintaining detection accuracy.

A content conversion system generates dynamic HTML from static images by analyzing visual characteristics and applying format-specific parameters.

An API maps multiplanar image data into separate CUDA arrays to enable direct processing across different computing contexts.

Two-dimensional diffractive optical elements generate aggregated multi-spot patterns using orthogonal periods to shape light intensity profiles.

A rendering system extracts light source and property data from single images to generate realistic three-dimensional models.

A statistical distance matrix calculation method converts scalar distances into matrix forms to enable refined local feature representation.

A robotic system calibrates curved medical tips using real-time X-ray imaging data to generate precise actuation signals.

A defect detection model extracts feature vectors from spectrum images to classify substrate defects.

Segmenting still images into depth-assigned layers creates a virtual 3D scene, resolving the trade-off between dynamic visual appeal and storage complexity.

A hybrid architecture merges deep learning and data-driven pipelines to extract representative patches from unlabeled images.

Distributes watermarking to CDN edge servers, reducing latency while maintaining security through distributed processing.

Shared three-dimensional models render geological features on electronic maps, replacing elongated cuboid approximations with accurate real-world simulation.

A display device detects regions of interest in broadcast images using a neural network to determine optimal closed caption output areas.

Segmenting scenes into depth layers allows independent view pose transformations, reducing rendering latency and motion sickness in virtual reality systems.

A cardiac roadmapping system overlays device maps onto static reference images using composed motion vector fields.

A video coder reuses down-sampled luma samples for both matrix intra prediction and cross-component linear model chroma prediction.

An underwater platform captures images to determine spatial properties of submerged objects without prior CAD models or markings.

Merges video recordings of poultry reactions with process data to create a synchronized document that eliminates data silos and ensures regulatory compliance.

An LC lens adjusts curvature via temperature feedback to compensate for speckle expansion and maintain depth measurement accuracy.