Battery Electrode Edge Detection Across Variable Brightness
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Solution Overview
Problem
Conventional edge detection devices for battery electrodes inaccurately detect the edges of uncoated portions due to distortion caused by varying brightness pixel values, leading to measurement inaccuracies.
Innovation Solution
The apparatus and method involve capturing two electrode images at different brightness levels, using a derivative mask filter to identify temporary edges, and determining final edges based on pixel coordinate information to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the brightness pixel value of the uncoated portion is adjusted to a fixed value (e.g., 255), then the edge detection process is simplified, but the edge position becomes distorted and measurement accuracy deteriorates
Solution Approach 1:
The patent changes the brightness parameter from a fixed value to a variable range. Instead of setting the uncoated portion brightness to a fixed value like 255, the system defines a brightness range (e.g., 200-255) and uses multiple threshold values to detect edges at different brightness levels. This resolves the contradiction by maintaining simple detection processes while improving measurement accuracy through multi-threshold comparison.
2Productivity
If a single threshold value is used for edge detection, then the detection process is fast and simple, but edge detection accuracy deteriorates due to brightness variations
Solution Approach 1:
The patent segments the edge detection process by using multiple threshold values instead of a single threshold. The system divides the detection into multiple stages, comparing pixel brightness against different threshold values (e.g., first threshold, second threshold) to identify edges more accurately. This segmentation maintains relatively fast processing while significantly improving edge detection accuracy by accounting for brightness variations.
Data Source
AI summary
An edge detection apparatus and method according to embodiments of the present invention may acquire a first electrode image and a second electrode image with different brightness values in which a same electrode is captured, and detect final edges of an uncoated portion from the second electrode image based on pixel coordinate information of edges of the uncoated portion obtained from the first electrode image, thereby improving detection accuracy of edge detection.