Automated Braces Removal from Dental Images
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Solution Overview
Problem
Current image editing processes for removing braces from individuals in pictures are tedious and time-consuming, requiring manual operations for each tooth and gum portion, often resulting in unnatural-looking outcomes.
Innovation Solution
An automated system for braces removal that identifies the braces region in an image and fills it with appropriate tooth or gum colors, allowing for single-user selection to initiate the process, eliminating the need for manual painting and blending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual editing is used to remove braces from each tooth, then the editing can be performed with basic tools, but the process becomes time-consuming and tedious
Solution Approach 1:
The system automatically identifies braces regions and performs removal operations without requiring manual intervention for each tooth. The algorithm autonomously segments teeth, detects braces, and applies blending operations, allowing the editing system to serve itself rather than requiring continuous user input.
Solution Approach 2:
The system performs preliminary identification and segmentation of braces regions before the actual removal operation. By pre-processing the image to locate and mask braces areas, the system prepares the groundwork for automated removal, eliminating the need for manual tooth-by-tooth editing.
2Manufacturing precision
If manual painting and blending is performed for each tooth and gum portion, then precise control over the editing process is achieved, but the complexity of the editing process increases significantly
Solution Approach 1:
The system segments the image into distinct regions including teeth, gums, and braces areas using automated detection algorithms. This segmentation allows precise targeting of braces regions while preserving surrounding areas, achieving editing precision without requiring manual manipulation of each tooth and gum portion.
Solution Approach 2:
The system introduces an automated detection and masking intermediary layer between the user and the image pixels. This intermediary automatically identifies braces regions and creates selection masks, simplifying the complex task of precise manual painting and blending into a single automated operation.
3Productivity
If automated braces removal is implemented, then the editing process becomes efficient and fast, but the system complexity increases
Solution Approach 1:
The system replaces manual mechanical editing operations with automated computational algorithms. Machine learning models and image processing algorithms substitute for manual painting and blending tools, achieving high productivity through automation while managing system complexity through integrated software architecture.
Data Source
AI summary
Methods and systems are provided for facilitating automated braces removal from individuals in images. In embodiments described herein, an indication to remove the braces from an individual wearing braces in an image is obtained. Based on receiving the indication to remove the braces, automatically, without user intervention, a teeth region is identified in the image that includes teeth of the individual, and a braces region is identified that includes braces visible in the teeth region. The teeth region and braces region are used to generate an edited image that includes the individual without braces.