Boundary Surface Structure Data Processing for 3D Noise Reduction

Solution Overview

Problem

Existing data processing methods for three-dimensional structures face challenges in efficiently removing structure noise, which increases processing time and complexity due to the difficulty in simplifying operations between solid units.

Innovation Solution

The method involves converting input solid structures into boundary surface structures with attribute information, allowing for simplified data operations by applying processing structures to these surfaces, thereby generating output boundary surface structures that reduce noise and errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If structure noise removal is performed on three-dimensional structure data, then data quality is improved, but processing time and processing amounts significantly increase

Engineering Contradiction:

Improvedata qualityVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent segments the three-dimensional structure data into multiple two-dimensional cross-sectional images at different positions. By processing each cross-sectional image independently rather than the entire 3D structure at once, the processing workload is divided into smaller, more manageable units that can be handled more efficiently

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms the three-dimensional structure data into two-dimensional cross-sectional images. This dimensionality reduction simplifies the noise removal operation by converting a complex 3D processing problem into multiple simpler 2D processing problems, thereby reducing processing time while maintaining data quality

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Manufacturing precision

If structure noise removal is performed on three-dimensional structure data, then data quality is improved, but processing complexity increases

Engineering Contradiction:

Improvedata qualityVSAvoidprocessing complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the three-dimensional structure data into multiple two-dimensional cross-sectional images at different positions. By processing each cross-sectional image independently rather than the entire 3D structure at once, the processing workload is divided into smaller, more manageable units that can be handled more efficiently

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms the three-dimensional structure data into two-dimensional cross-sectional images. This dimensionality reduction simplifies the noise removal operation by converting a complex 3D processing problem into multiple simpler 2D processing problems, thereby reducing processing complexity while maintaining data quality

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS11170492B2Methods and devices of performing structure operation based on boundary surface structure

Publication Date: 2021.11.09 SAMSUNG ELECTRONICS CO LTD

AI summary

A method of performing a structure data operation includes providing input data including a processing structure and an input solid structure including a plurality of solid units, converting the input solid structure to an input boundary surface structure including attribute information on input boundary surfaces of the plurality of solid units, performing a structure data operation on the input boundary surface structure to generate an output boundary surface structure, and providing output data based on the output boundary surface structure. The structure data operation includes applying the processing structure to the input boundary surface structure.