Refining Marker Position on Line-Shaped Image Features
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Solution Overview
Problem
User-indicated positions on a two-dimensional image, particularly line-shaped image features, often lack positional accuracy due to factors like input device accuracy, image zoom level, and user condition, leading to incorrect marker positioning.
Innovation Solution
An image processing device with a marker position refining unit that determines refined marker positions by analyzing symmetry measures within a search region, using pixel windows and a weighing factor to distinguish between pixels inside and outside line-shaped image features, ensuring accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user input is used to indicate marker positions on line-shaped image features, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system uses the image data itself to automatically refine the marker position. The symmetry measure calculation and pixel window analysis allow the system to self-correct the user's initial position indication by identifying the pixel with maximum symmetry along the line-shaped feature, thereby eliminating the need for perfectly precise manual positioning while maintaining ease of operation
Solution Approach 2:
The system provides feedback by calculating a symmetry measure for the initial marker position and comparing it with symmetry measures of neighboring pixels. This feedback mechanism allows the system to iteratively refine the position by identifying the pixel with the maximum symmetry value, thereby improving measurement precision while maintaining the simplicity of initial user input
2Measurement precision
If symmetry analysis with pixel windows is performed to refine marker position, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the analysis into distinct functional components: determining pixel windows around the marker position, calculating symmetry measures for each pixel window, identifying the pixel with maximum symmetry, and outputting the refined position. This segmentation allows the complex task of position refinement to be broken down into manageable, modular operations that can be implemented efficiently
Solution Approach 2:
The system applies local quality analysis by examining only a localized region around the initial marker position using pixel windows of specific size. The symmetry measure is calculated locally for each pixel window rather than analyzing the entire image, which reduces computational complexity while maintaining high measurement precision for the specific task of marker position refinement
Data Source
AI summary
An image processing device (400), comprising an image input interface (402) configured to receive input pixel values allocated to pixels in a two-dimensional pixel grid, a marker input interface (404) configured to receive marker position data indicative of a position of a marker within the pixel grid, and a marker position refining unit (406) configured to identify, using the pixel data and the marker position data, a target pixel having a highest symmetry value, i.e. identification value, which has been determined based on weighed symmetry values of the pixels within a search region that includes the marker position, and to determine a refined marker position data as the position data of the target pixel.