Deformable Tunnel Image Selection Tool
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image editing tools face challenges in selecting specific sections of images due to difficulties in defining borders, especially when multiple colors are involved, and lack the ability to correct mistakes during the selection process, leading to frustration and inefficient editing.
Innovation Solution
An image editing method that identifies edges in an image, applies a de-noise algorithm to maintain relevant edges, and allows for border definition by snapping to edges as the cursor moves, with features like adjustable search windows and tunnel generation for smooth transitions between foreground and background.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a user draws a border by manually moving the cursor to define the selection area, then the selection border can be precisely defined, but the operation process becomes very difficult and time-consuming
Solution Approach 1:
The system automatically identifies edges and generates selection borders without requiring manual cursor movement. The edge detection algorithm serves itself by analyzing image data to create accurate selections, eliminating the need for users to manually trace borders while maintaining precision.
Solution Approach 2:
The manual mechanical cursor movement system is replaced with an automated edge detection algorithm. Instead of relying on human hand movement to define borders, the system uses image processing techniques to automatically identify and create selection boundaries based on edge detection in the image data.
2Reliability
If a user must complete the entire border definition without mistakes, then the selection can be finalized, but the process becomes frustrating and inefficient when errors occur
Solution Approach 1:
The system performs preliminary edge detection and border generation before finalizing the selection. By pre-identifying edges and creating a border based on those edges, the system allows users to review and adjust the selection before committing, enabling mistake correction without restarting the entire process.
Solution Approach 2:
The system provides visual feedback by displaying the detected edges and generated border to the user during the selection process. This feedback mechanism allows users to see what the system has automatically created and make adjustments if needed, rather than being forced to complete an error-prone manual drawing process.
3Ease of operation
If a simple softening effect is applied to selection edges, then the transition from foreground to background is smoother, but the transition does not account for the actual nature of the border
Solution Approach 1:
The system applies different processing to different parts of the border based on local image characteristics. By analyzing the actual edge properties at each location and generating the border accordingly, the system creates transitions that are smooth where appropriate while maintaining accuracy at critical edge regions, rather than applying a uniform softening effect.
Data Source
AI summary
Some embodiments provide a method that provides a display area for displaying an image. Some embodiments provide a tool that when activated generates a deformable tunnel based on a cursor movement through the display area. The tunnel is for differentiating a region of interest of the image from the rest of the image. The method provides a moveable tool for determining a width for the tunnel region. The moveable tool is a slider tool in some embodiments. In some embodiments, the moveable tool is for determining the initial width at which the tunnel is generated. The moveable tool is further for modifying the width of the tunnel after the tunnel is generated in some embodiments.