Electronic Coloring Page Generation via Edge Detection Outlines
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Solution Overview
Problem
Current computer-based children's toys lack the ability to effectively convert and manipulate images into interactive electronic coloring pages, limiting user engagement and creativity.
Innovation Solution
A method and system that captures images, converts them into outline images using edge detection or database comparison, and layers them to create an electronic coloring page, allowing users to modify the image with colors and stickers while maintaining visible outlines, using a processor with associated modules for image obtaining, outlining, layering, and coloring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computer-based toys convert images into electronic coloring pages, then user engagement and creativity are enhanced, but device complexity increases
Solution Approach 1:
The system creates a simplified copy of the original image by generating an outline version that retains the essential structure and boundaries while removing internal details. This outline copy serves as the basis for the electronic coloring page, enabling user interaction without requiring the full complexity of the original image data.
Solution Approach 2:
The image processing is divided into distinct segments: original image acquisition, outline generation through edge detection, and coloring layer separation. By segmenting the image into outline elements and fillable regions, the system manages complexity through modular processing steps while enhancing user engagement with the coloring function.
2Manufacturing precision
If edge detection is used to generate outline images, then coloring page accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing images to generate outline versions before the actual coloring activity begins. Edge detection is executed in advance to create the structural framework, allowing the coloring application to load and display ready-to-color outlines without real-time processing delays during user interaction.
Solution Approach 2:
The edge detection algorithm adjusts its parameters to optimize the balance between outline accuracy and processing speed. By tuning detection sensitivity and threshold values, the system generates sufficiently accurate outlines for coloring purposes while minimizing the computational time required for the transformation.
3Adaptability or versatility
If multiple images are captured and converted to outlines, then user selection flexibility improves, but system resource consumption increases
Solution Approach 1:
The system extracts only the essential outline information from captured images rather than storing complete high-resolution versions. By taking out just the boundary and structural elements needed for coloring, the system provides multiple image options for user selection while consuming minimal memory resources.
Solution Approach 2:
The system performs partial processing on captured images by generating only the necessary outline representations rather than fully processing and storing complete image data. This partial action approach enables multiple image selections with reduced memory footprint by focusing computational resources on extracting only the coloring-relevant structural information.
Data Source
AI summary
Generating an electronic coloring page image in the disclosed technology is accomplished by (a) obtaining an image to be converted into a the electronic coloring image; (b) converting the image into a corresponding outline image; (c) converting the corresponding outline image into an electronic coloring page image; (d) displaying the electronic coloring page image to a user; and (e) responsive to input provided by the user, manipulating the electronic coloring page image.