Image Analysis TRIZ Cases

Extracting sweat gland pore coordinates and orientation angles overcomes low accuracy limits of simple counting methods.

A six-dimensional smart target uses a gimbal and light pipes to determine object pose.

A bipartite graph construction method extracts communication nodes to a top layer for clear visualization of deep neural network structures.

A color replacement system generates embeddings to segment and replace image colors using natural language inputs.

Circulating the detected pattern updates projection, dividing total displacement by circulation count to resolve optical distortion complexity.

A multilayer thin film measurement system uses angle-resolved spectral imaging to capture s-polarized and p-polarized light simultaneously.

Camera system with laser distance meter measures cylindrical object diameter using virtual reference plane geometry.

A layered depth video method computes occlusion information in horizontal and vertical directions to generate a unified layer.

A medical system renders 3D heart chamber representations with sampling-site markers and electrode positions.

A feature-guided neural network enhances local features spatially and extracts global features through basic unit blocks.

An optically pumped magnetometer array detects biomagnetic signals from human tissue using a localized shield to attenuate ambient magnetic noise.

Logarithmic transformation and spatio-temporal filtering separate illumination changes from true motion, enabling accurate detection in varying light.

Computational lithography replaces manual rule tables with a shadow region constraint that automatically generates SRAFs, reducing process complexity.

Weighted pixel analysis from an image sensor resolves the contradiction between measurement precision and device complexity in ambient light sensing.

A masking module scales signal encoding adjustments based on image luminance and chrominance values to ensure detectable digital watermarks.

Polarization image sensor captures phase shift data using multiple polarizer angles, eliminating mechanical wave plates and reducing temperature-induced errors.

Extracts material constants and lighting data from multi-view images using a linear system defined by geometry and lighting components.

Segmenting codeword regions reduces computation time while maintaining measurement precision in structured light sensing.

Combining frontward and periphery imaging data resolves low resolution near the vehicle, improving offset distance and inclination recognition accuracy.

A computing unit determines structural features and assigns measuring tasks to mask defect positions.

Camera system detects road edges via light decrease gradients to determine bend angles, resolving delays in steering-based headlight orientation.

A digital neuromorphic vision system generates spike data from frame differences to enhance object detection accuracy.

A Dynamically Aligned Structure replaces traditional acceleration structures in augmented reality rendering pipelines.

A vehicle surroundings monitoring device extracts horizontal edges from candidate animal areas to determine real space objects.

A movement vector calculating section determines vectors from microlens photographs without generating whole images.

A mobile device determines orientation by capturing images of overhead light fixtures and calculating angles relative to known fixture axes.

A simulation system generates virtual binding patterns attached to base patterns for realistic 3D avatar draping.

A video server extracts feature points to generate time slice videos focused on user-selected objects.

Adjustable measurement position on substrate height measuring device avoids interference from circuit forming members.

A motion estimation system generates optimum motion fields by propagating vectors spatially to create smooth image transitions.

Data-oblivious algorithms process video streams within trusted execution environments, preventing side-channel attacks on cloud analytics.

A translucent menu overlay allows operators to interact with controls while viewing the target image on limited display areas.

Calculating pixel delta functions identifies local motion, preventing temporal filter artifacts like ghosting in moving objects.

Machine learning models detect real-world surfaces to position three-dimensional virtual elements behind them for augmented reality displays.