Image Enhancement TRIZ Cases

A projective correction method determines vanishing points from text regions using RANSAC clustering.

Machine learning extracts depth information from 2D facial images to support biometric authentication.

A foreground mask correction method refines segmentation boundaries using depth data and color information.

A pupil detection module weights boundary point candidates by neighbor pixel color values to determine an estimated eye region.

A diagnostic system generates indicator images from spectral data to discriminate diseased tissue.

A video image acquisition unit captures pupil pixel sets to calculate center coordinates through quadrant division.

A rotating mirror redirects light to a fixed sensor, enabling optical pan-tilt functionality while maintaining a slim camera module profile.

Predicting inverse distance maps via convolutional neural networks derives accurate boundaries without dense input or high-resolution images.

Laser radar and video recognition detect train obstacles using electronic map positioning, replacing driver observation to reduce collision risks.

A digital processing system aligns biological sample images to enable precise laser extraction of tissue regions.

Analyzing visual data from building images determines interior dimensions, replacing difficult floor plan construction with automated measurement.

A segmentation system uses semantic input to query exemplars and apply location priors for precise object isolation.

Selective compression reduces data volume in low-interest areas, enabling efficient transmission over limited wireless bandwidth.

Combining axial transmission and pulse-echo ultrasound modes resolves cortical thickness dependence, improving fracture risk prediction accuracy.

A mammography control device switches between projecting a diagnostic image and an irradiation field range to prevent visual overlap.

A deep learning chromosome recognition method using ResNet and MLP classifiers for automated karyotype analysis.

Spatially-adaptive normalization propagates semantic labels to synthesize high-fidelity images, eliminating manual blending artifacts.

A method generates image descriptors by weighting texture data with intensity information across multiple scales.

An image classifier organizes processing elements into logical groups to perform automated diagnostic analysis on digital images.

Scanning data processing minimizes duplicate retrieval efforts by identifying time periods for target phases and retrieving datasets once.

Iterative contour deformation applies dynamic constraints to improve MRI segmentation accuracy while managing computational complexity.

A document extraction unit combines low and high frequency image areas to isolate text regions.

LiDAR SLAM estimates movement trajectories to guide Structure-From-Motion, resolving viewpoint changes in large-scale indoor spaces.

Analyze hue distributions in generated images to create uniform datasets, resolving color deviation bottlenecks that compromise model robustness.

An image processing apparatus detects blank portions to generate a region-of-interest signal.

A camera identifies subjects by matching calculated object positions with nearby wireless device locations.

Transforming reconstructed light field images to the frequency domain allows targeted removal of stitching edge noise without blurring fine details.

A statistical shape model uses covariance matrices to quantify uncertainty during image segmentation.

A digital image processing method generates training data by applying simulated optical degradation and resolution reduction to high-resolution images.

An image processing apparatus records subject metadata from individual material images before compositing them into a single view.

A time-of-flight imaging circuitry merges image data from different positions to reduce multipath artifacts and increase resolution.

An image display system overlays cell detection results onto stained images, reducing manual inspection time while maintaining verification precision.

Histogram-based scene analysis generates dynamic tone-curves that resolve fixed curve limitations, expanding dynamic range and suppressing clipped whites.

A communication device converts data into images using Fourier transforms for transmission.

Neural networks analyze 2D images to predict defects, replacing costly 3D cameras and reducing inspection time.

A normalization engine adjusts image properties to ensure consistent capture across diverse devices.

Digital camera imaging tracks particle displacement on cured composite plies to measure residual strain fields.

A point cloud quality metric quantifies aggressor object impact on LIDAR systems.

Adjusts trachea pixel luminance to isolate lung regions, resolving extraction errors caused by similar pixel values.

An image processing device detects bad pixels and corrects them using peripheral pixel values stored in a buffer.

Automated optical measurement detects pupil reflections to calculate interpupillary distance, eliminating manual ruler errors that cause 3D image misalignment.

A print processor generates black image data with increased density for text objects to enhance monochrome output.

A noise reduction filter calculates weights based on correlation values to generate a clean image for resolution enhancement.

A reference sensor detects electromagnetic interference, enabling signal processing to subtract noise from ultrasound data and reduce imaging artifacts.

Infrared imaging evaluates combustion ash deposition states, enabling effective management across diverse fuel types.

Segmenting full-resolution images into lower-resolution tiles reduces processing load while maintaining tracking accuracy through selective analysis.

An automated method segments teeth from CBCT volume data using estimated average height and detected separation curves.

Converts image data to output device color spaces before multiplexing additional information.

A 3D medial axis extraction method slices objects into 2D planes to apply Voronoi algorithms, then reconstructs the skeleton using intersection techniques.