Hand-Drawn Diagram Conversion to Editable Vector Graphics
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Solution Overview
Problem
Current digital conversion of static images, such as hand-drawn diagrams, is limited by resolution dependency, scaling issues, and inability to easily edit or manipulate content, leading to difficulties in correcting errors and maintaining quality when scaling or adding new information.
Innovation Solution
A computerized drawing tool that captures and converts hand-drawn images into editable formats by recognizing annotations and generating object definitions, allowing for the creation of editable images and text through noise reduction, line recognition, object identification, and shape classification, enabling manipulation and editing of the digital representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If static images are converted to digital formats (bitmap, JPEG, TIFF, PNG), then the images can be stored and displayed, but they become resolution dependent and cannot be scaled without loss of quality
Solution Approach 1:
The patent creates an editable vector copy of the original static image by recognizing geometric shapes, lines, and text, then reconstructing them as scalable vector graphics. This vector copy can be infinitely scaled without quality loss while the original bitmap image remains preserved for reference.
Solution Approach 2:
The patent transforms the image representation from fixed-resolution bitmap parameters to variable-resolution vector parameters. By changing the fundamental data structure from pixel-based to mathematical curve-based representation, the image gains scalability and editability while maintaining quality at any size.
2Ease of operation
If digital images are created using standard drawing programs, then the images can be manipulated and edited, but errors cannot be easily corrected and rewriting is required
Solution Approach 1:
The system creates an editable vector copy that preserves the original content's structure and meaning. This copy can be selectively modified without affecting the original, allowing error correction by simply adjusting specific vector elements rather than rewriting entire diagrams.
Solution Approach 2:
The patent performs preliminary recognition and structuring of the original image into editable vector components before any editing occurs. This pre-structured format enables quick error correction by allowing users to modify individual recognized elements (shapes, lines, text) without affecting other parts of the diagram.
3Reliability
If hand-drawn diagrams are captured in static format, then they can be recorded and stored, but they cannot be easily manipulated to add new formatting, record new thoughts, or evolve over time
Solution Approach 1:
The patent creates a faithful vector copy of the hand-drawn diagram that maintains the original author's intent and content accuracy. This copy then becomes a living document that can be adapted and evolved by adding new vector elements, modifying existing ones, or reorganizing content while preserving the original recording.
Solution Approach 2:
The patent transforms the static hand-drawn diagram into a dynamic vector-based representation. The recognized geometric shapes, lines, and text become editable objects that can be moved, resized, and modified, allowing the diagram to evolve over time while maintaining the reliability of the original captured content.
4Manufacturing precision
If vector formats are used for digital images, then the images can be scaled smoothly at any desired scale, but they must be rasterized to be displayed on digital monitors
Solution Approach 1:
The patent creates a vector copy that maintains scalability and precision advantages. The system manages the dual representation by keeping the vector format for editing and storage while automatically handling rasterization only when display is required, thus preserving scaling quality without permanent loss of vector benefits.
Data Source
AI summary
A diagram generator comprises a line characterizer, a label characterizer, a block diagrammer to transform the set of drawing objects into a block diagram, a flow charter to transform the set of drawing objects into a flow chart, and a data flow diagrammer to transform the set of drawing objects into a data flow diagram. A client device receives a raw image signal of a print or display graph from a camera and in response processes the raw image to reduce noise, normalize the raw image data, and reduce pixel information. A server system receives the processed image from the client device and in response operates diagram generator logic to transform the processed image into a format in which image lines and other geometric objects are manipulable.