Geometric figure processing method and device, equipment and storage medium

By recognizing, optimizing, and denoising geometric figures, vector elements are generated and edited, solving the problems of inaccurate geometric figure recognition and low editing efficiency in existing technologies, and achieving high-precision and high-efficiency geometric figure processing.

CN119131799BActive Publication Date: 2026-02-27SHENZHEN JYEOO NETWORK TECH CO LTD
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Patent Information

Application Number
CN202411210915.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-30
Publication Date
2026-02-27
Estimated Expiration
2044-08-30

AI Technical Summary

Technical Problem

Existing image processing and recognition technologies are insufficient to meet the high accuracy and ease of editing requirements of geometric figures in educational settings, especially when processing geometric figures in scanned exam papers or photos. The recognition accuracy and efficiency are low, leading to the need for a large amount of manpower for subsequent adjustments.

Method used

By acquiring the image to be identified, the initial geometric inset is determined through identification and segmentation. Then, optimization and denoising processes are performed, image features are extracted, target geometric elements are classified and identified, their relationships are decomposed, vector elements are generated, and vectorization editing is performed based on editing instructions. Finally, the image is exported to a graphics resource library.

Benefits of technology

It achieves high-precision geometric shape recognition and vectorized editing, reducing the manpower cost of subsequent adjustments and improving the accuracy and efficiency of editing.

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Abstract

The application provides a geometric figure processing method and device, equipment and a storage medium. The method comprises the following steps: acquiring a to-be-recognized image, and recognizing and cutting the to-be-recognized image to determine an initial geometric illustration; performing optimization processing on the initial geometric illustration to determine a target geometric illustration; performing denoising processing on the target geometric illustration to obtain a denoised geometric illustration, acquiring image features of the denoised geometric illustration, classifying the image features to determine a target geometric element, and determining a first vector element according to the target geometric element and a geometric element relationship obtained by disassembling the target geometric element; editing a to-be-edited vector element in the first vector element based on an editing instruction, determining a vector figure according to the to-be-edited vector element and a non-editing vector element, and exporting the vector figure to a figure resource library in a standard format. Thus, high-precision recognition is performed on the geometric figure, and the subsequent labor cost for adjusting the geometric figure is greatly reduced.
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