Reconstructed Image for Semiconductor Wafer Inspection

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Solution Overview

Problem

Large digital images, such as those of semiconductor wafers, are difficult to inspect due to display size limitations, requiring manual panning to view all parts, which is inefficient.

Innovation Solution

A method using a processor to reconstruct images by defining contour points, obtaining characteristic lines with pre-defined lengths and widths, and rearranging them to form a straight edge, creating a smaller reconstructed image that allows for easier inspection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If the original large digital image is displayed directly, then all information is preserved, but the image size is too large to fit on the display screen requiring manual panning

Engineering Contradiction:
Improveimage sizeVSAvoidinspection efficiency
Core Design Contradiction:
Area of stationary objectVSEase of operation

Solution Approach 1:

The patent segments the original large digital image into multiple characteristic lines by identifying contour points and extracting line features. Each characteristic line represents a portion of the object contour with associated pixel values. This segmentation transforms the large 2D image into a compact representation that fits on the display screen while preserving all essential information for defect inspection.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent extracts only the essential information from the original image by identifying contour points and obtaining characteristic lines that define the object boundary. Instead of displaying the entire original image, the system extracts and rearranges these characteristic lines to form a reconstructed image that contains all relevant defect information in a condensed format.

Inventive Principle:
Principle #2Taking out (Extraction)

2Loss of information

If the original large digital image is displayed directly, then all information is preserved, but manual panning is required to view all parts

Engineering Contradiction:
Improveinformation completenessVSAvoidinspection time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

By segmenting the image into characteristic lines that capture the essential contour and defect information, the patent preserves all relevant data while eliminating the need for panning. The segmented representation maintains complete information about the object boundary and any defects located along it.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a reconstructed image that is a simplified copy of the original, containing only the essential contour and defect information. This copy preserves all necessary inspection data while being compact enough to display entirely on the screen, eliminating the time loss associated with manual panning.

Inventive Principle:
Principle #26Copying

3Area of stationary object

If the original large digital image is displayed directly, then complete object information is available, but the display requires frequent manual dragging

Engineering Contradiction:
Improveimage sizeVSAvoidinspection productivity
Core Design Contradiction:
Area of stationary objectVSProductivity

Solution Approach 1:

The patent segments the large image into characteristic lines that can be arranged in a compact reconstructed image. This segmentation reduces the display area required while maintaining all essential inspection information, thereby improving productivity by eliminating the need for frequent manual dragging and allowing inspectors to view the entire object contour at once.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11367178B2Method for reconstructing an image
Publication Date: 2022.06.21 V5 TECHNOLOGY CO LTD
  • US11367178B2 patent drawing
  • US11367178B2 patent drawing
  • US11367178B2 patent drawing

AI summary

A method for constructing an image includes: defining a foreground area associated with an object in an original image; identifying a plurality of contour points defining a contour of the object; for each of the contour points, obtaining a reference contour point set that includes at least one reference contour point on each of two sides of the contour point; obtaining a plurality of characteristic lines, each associated with the reference contour point set and defined by an end point obtained from the contour points; and aligning the end points on one side to form a straight edge and making the characteristic lines adjoin each other side by side, so as to construct a reconstructed image.