Window Image Detection Using Endpoint Directionality and Peak Analysis
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Solution Overview
Problem
Conventional methods cannot accurately and easily convert image files back into CAD drawings, limiting the reusability of design elements like windows, requiring manual redrawing with digital pens.
Innovation Solution
A method and apparatus that extract outlines from drawings, detect end points and their directionality, and identify window images based on peak positions and numbers, enabling accurate detection of window images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to convert image files back to CAD drawings, then manual redrawing with digital pens is required, but this process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the mechanical manual redrawing process with an automated image processing system that uses computer vision algorithms to detect window images and extract geometric features from drawing images, thereby eliminating the need for manual digital pen input and significantly reducing conversion time
Solution Approach 2:
The system enables the drawing image to self-identify window elements through automated feature detection and classification algorithms, allowing the image data to serve itself in identifying structural elements without requiring external manual annotation or interpretation
2Measurement precision
If image files are converted to CAD drawings using conventional methods, then accuracy is compromised, but the proposed method achieves accurate detection
Solution Approach 1:
The patent segments the window detection task into distinct processing stages: outline extraction, endpoint detection, directionality analysis, peak detection, and window identification. This segmentation allows each stage to be optimized independently, improving overall accuracy while managing algorithmic complexity through modular processing
Solution Approach 2:
The patent transitions from analyzing simple 2D image pixels to detecting geometric features in multiple dimensions by identifying endpoints, calculating directionality vectors, and locating peak positions, thereby enhancing detection precision through multi-dimensional feature space analysis
3Adaptability or versatility
If manual redrawing is required for design element reuse, then design element reusability is limited, but the proposed method enables efficient reuse
Solution Approach 1:
The patent creates accurate digital copies of window design elements by detecting and extracting their geometric features from image files, enabling these elements to be copied and reused in CAD drawings without requiring manual redrawing, thereby enhancing design element reusability while maintaining operational simplicity
Data Source
AI summary
Provided are a method and an apparatus for detecting door image, and the method includes extracting an outline from the drawing; detecting an end point of the outline; detecting a directionality of the end point; detecting a peak adjacent the end point using the directionality; and detecting at least one window image using at least one of the number and position of the peak.