Image Analysis TRIZ Cases

An image processing apparatus corrects spatial information of superimposed objects using inter-image correspondence data.

Time delay correction calculates angular velocity to adjust direction information, reducing latency between target motion and display.

A multiband camera system uses spectral separation to track and verify medical instruments without physical contact.

A single sensor captures iris and face images by adjusting illumination and exposure settings between acquisitions.

A method determines matching blocks using sum of absolute differences and gradient information.

A processing system generates a masked depth map from monocular image data to determine object distances using closest pixel values.

A line-of-sight guidance device controls multiple vehicle displays to direct driver attention within the visual field.

Adjusts draw command processing sequence using depth information to minimize unnecessary shading and reduce power consumption.

An optical inspection system classifies semiconductor defects using the relative phase of scattered light from multiple pupil locations.

Automated optical inspection analyzes banded region dimensions to ensure reduced ignition propensity and freeburn compliance.

A method adapts object models to 3D point clouds by applying clustering and determining optimal positions relative to identified clusters.

A video controller adjusts resolution and tracks user body parts using depth detection.

A motion recognition system fuses spatial and temporal features from image data for stable tracking.

Clustering algorithms analyze extracted property vectors to generate diverse transition styles, reducing manual keyframe labor costs.

Scaled Gaussian kernel approximation discretizes the modified Riesz operator, reducing noise sensitivity and mask length for accurate edge detection.

A database links human pose data with effect manipulation data to automatically apply targeted image effects based on detected body orientation.

A diagnostic imaging apparatus displays reference and marker time-intensity curves alongside scan video images to visualize brightness changes over time.

A triangulation-based anomaly detection system cross-verifies predictions from multiple machine learning models to identify printing defects.

An image display apparatus determines optimal viewing parameters using anatomical feature detection and predefined templates.

A method divides depth images into sub-images and identifies regions of interest to generate computer-generated hologram patches.

Track movable objects across time intervals by aligning images with affine-invariant features, overcoming resolution differences and occlusions.

A scintillation detection method uses Bivariate Cauchy Distribution equations to calculate photon spatial distribution across a planar photodetector surface.

A proximity compass displays directional and distance data for virtual elements outside the user's line of sight.

Transform RGB luminance values into uniform color space coordinates to enable efficient white pixel replacement.

A shape discriminating device extracts leg regions from target images to specify pant geometry without template data.

Analyzing position, speed, and orientation data via Hidden Markov Models to recognize shopper intentions without complex visual cues or additional sensors.

A display apparatus classifies image complexity in analysis areas to generate dimming control signals for backlight adjustment.

Dynamic parameter changes in a single AI model match player skill levels, eliminating the need for multiple specialized companion models.

Imaging devices and attitude sensors determine offshore pile orientation from moving vessels, eliminating manual measurement interruptions.

Segments k-space to balance measurement time and image quality by applying motion correction only where critical.

A biometrically activated device authenticates users using unique internal physiological markers like blood flow patterns.

Lab color space conversion extracts Gray a and b values to resolve recognition instability caused by geometric distortion in grayscale systems.

A super-resolution network adjusts generation force based on human face matching degree to preserve facial features during image upscaling.

Avionic display system modifies translucent overlay opacity at visual reference locations to preserve color-based information for pilots.

A divided-aperture infrared spectral imaging system uses uncooled detectors and spectrally-multiplexed optical filters to acquire multispectral data in a single shot.

Merges spherical Gaussian local lighting with HDR global data to resolve the contradiction between wide-range consistency and location-specific variations.

System detects replay attacks by analyzing spatial relationships between pixels in raw images, reducing bandwidth requirements.

Cholesky factorization accelerates simulation calculations by decomposing the system matrix, reducing computational costs while maintaining visual realism.

Wearable devices capture video and orientation data to generate a dynamic 3D model of physical objects.

A processor estimates real-world white point to adjust synthetic content rendering in augmented reality scenes.

Parts-level detectors verify object presence to eliminate false negatives, reducing manual tagging time while improving detection accuracy.

Grouping sub-images by edge matching reduces computation time and improves signal transmission timeliness in high-definition displays.

A scene codec segments digital models into independent tiles for selective delivery across distributed systems.

Automated biometric correlation eliminates manual data entry errors and dehydration risks in athlete monitoring.

Segmenting the scene graph into parent-child nodes reduces processing time by selectively updating only visible objects, resolving bandwidth constraints.