Image Enhancement TRIZ Cases

A vehicle exterior environment recognition apparatus derives three-dimensional object speed using a specific end position in the depth direction as a stable reference point.

Segmented AI modules correlate dental pathologies with DNA data to generate precise treatment recommendations without excessive computational overhead.

A fish handling unit uses an inspection system and conveyor assembly to transport live fish to a robotic cell for automated processing.

An image processing device recognizes blood vessel running information to superimpose a bleeding stopping recommended point on surgery images.

A server identifies image content and selects recommended filters using a learning model.

Statistical analysis of medical images provides confidence intervals for anatomical structures, resolving diagnostic ambiguity in early disease detection.

Split image processing with box merging improves real-time vehicle detection accuracy in UAV imagery while reducing computational complexity.

Pluggable shelf-mounted camera system identifies shoppers and tracks activities, resolving detection accuracy issues in existing retail environments.

Automatic calibration adjusts laser radar and camera spatial positions using line feature extraction from point cloud data.

A vehicle computer system determines real-time wind data by analyzing relative object movement detected through onboard sensors.

Multi-level thresholding and boundary smoothing modules process fluorescent cell images to extract accurate body regions.

Image processing method superimposes magnified local regions onto global views to resolve precision and complexity trade-offs.

A host device corrects its pose by detecting reference objects in captured images and calculating relative positions.

A medical imaging apparatus transforms ultrasound images using landmark points to match standard diagnostic views.

Shape prior model guides automatic video matting, eliminating manual input and resolving misalignment issues.

A 3D glasses identifying unit detects optical displays on user faces to enable augmented reality special rendering.

Automated medical image processing system detects dissimilarities using trained machine learning networks to generate visual alerts.

A virtual space image generation apparatus specifies corresponding camera positions to map real-world capture points into a digital environment.

X-ray imaging of fruits with rotational symmetry identifies internal anomalies through attenuation analysis.

Sensors monitor soil moisture and closing quality to enable automatic downforce adjustments, eliminating manual operator intervention.

Segmenting detection into head, shoulder, and leg units resolves accuracy issues when persons overlap significantly.

Phospholipid microparticles with maleimide moieties reduce immunogenicity and non-specific binding to enable safe, quantitative ultrasound molecular imaging.

Variable plateau histogram clipping resolves detail visibility trade-offs by applying local contrast adjustments without compromising overall image quality.

Computing unit generates orthogonally translated digital copies of the optical sample field at the pupil plane to determine wave front errors.

A free-space optical sensing system detects object positions and motions to enable contactless machine control.

A deep neural network generates diffeomorphic deformation fields to estimate organ motion in medical image sequences.

A vehicle controller analyzes occupant biomechanical point movement in images to determine injury likelihood and severity.

A monocular camera system estimates object distance using single-view geometry and inverse perspective mapping.

Spatial statistical analysis of classified cell centers replaces subjective pathologist evaluation, delivering objective cancer therapy response prediction.

A mobile device sensor receives identification signals from low-rate transmission devices to generate output signals based on item codes.

A coded aperture imaging apparatus incorporates an interchangeable lens to modify the imaging angle of view while preserving refocusing capabilities.

Segments pre-retinal scattering noise by combining back scattering spectra from ocular media and neural retina to resolve spectral shifts in reflectance data.

A progressive neural network denoiser transforms noisy intermediate renderings into high-quality images using modular architectures and adaptive sampling.

A virtual graphic object overlays diagnostic images to display marker positions without physical presence.

Aggregating colorized keypoint heatmaps into compact PoTion representations reduces training time while improving human action recognition accuracy.

A displayed-image generation unit superimposes reference coordinates on preoperative and intraoperative images to enable precise scale, position, and orientation adjustments.

A crossing point detector uses a function model to express pixel values with a curved surface for subpixel precision detection.

AI clustering identifies marine objects in hyperspectral data through real-time preprocessing, reducing processing time while maintaining detection accuracy.

Interactive brain navigation system overlays nodes representing brain parcels on a graphical user interface to visualize connectivity data.

Aerial image gradients fused with vehicle telemetry probability distributions identify road edges without complex laser guidance systems.

A post-processing system automates aerial imagery geo-rectification by determining six degrees of freedom for camera position without human intervention.

Machine learning analyzes facial landmarks to determine gaze direction, suppressing manual vehicle control when the occupant looks away from the roadway.

Two convolutional neural networks trained on lesion interiors and boundaries automate dermatoscopic image annotation.

A method segments peripheral image areas to detect edge positions and intensities for precise boundary specification.

A monitoring system classifies bubble flow patterns using video feeds and sensor data to detect hydrocarbon venting during marine drilling operations.

Radiographing control apparatus retrieves pre-exposure image data to calculate total diagnostic dose and outputs main exposure conditions.

A camera captures reflected and transmitted light patterns from pillar-shaped honeycomb structures to distinguish cell positions based on spatial location.

A vehicle environment recognition device derives edge averages from divided image areas to identify floating matter objects.

Averaging multiple OCT images under different polarization conditions reduces birefringence artifacts without requiring complex detection hardware.

A digital enhancement system identifies target objects in primary images and locates reference images to modify the primary image.