Repellent Spot Evaluation Using Image Binarization and Area Analysis
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Solution Overview
Problem
Existing methods for evaluating repellent performance are qualitative and subjective, lacking quantitative accuracy.
Innovation Solution
A method and device for evaluating repellents by acquiring image data, performing image processing to detect and quantify the area of spots or water drops on treated substrates, using binarization and smoothing techniques to isolate the region of interest, and determining evaluation values based on the area ratio or number of spots/drops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual comparison with predetermined criteria is used for repellent evaluation, then the evaluation process is simple and easy to operate, but the evaluation results are qualitative and subjective, lacking quantitative accuracy
Solution Approach 1:
The patent replaces the manual visual comparison method with an automated image processing system that uses computer algorithms to analyze spot images. The system captures images of spots on substrates, processes them through smoothing and binarization algorithms, and automatically calculates evaluation values based on spot area ratios, thereby substituting human subjective judgment with objective computational analysis.
Solution Approach 2:
The patent introduces image processing algorithms as an intermediary between the spot image and the evaluation result. The smoothing process reduces noise, the binarization process converts grayscale images to binary images for clear segmentation, and the area calculation algorithm computes quantitative metrics. These intermediary processing steps transform the raw image data into reliable quantitative evaluation values.
2Measurement precision
If image processing techniques are applied to achieve quantitative evaluation, then measurement precision is improved, but the complexity of the evaluation system increases
Solution Approach 1:
The patent segments the image processing task into distinct modular steps: smoothing processing to reduce noise, binarization processing to separate spot from background, and area calculation to quantify spot size. Each step handles a specific aspect of the analysis, making the overall complex process manageable and systematic while achieving high measurement precision.
Solution Approach 2:
The patent creates a digital copy (image) of the physical spot on the substrate and performs all measurements on this copy rather than directly on the physical object. This allows for repeated processing, algorithmic manipulation, and precise measurement without affecting the original sample, enabling quantitative evaluation through computational methods.
Data Source
AI summary
An evaluation method for evaluating a spot generated on a substrate that has been treated with a repellent, the method includes an acquiring step of acquiring image data including data on the substrate that has been treated with the repellent to be evaluated, a spot-detecting step of creating a smoothed image from the image data, binarizing the smoothed image and detecting a region of a spot generated on the substrate, and a spot-evaluating step of determining an evaluation value of the spot according to an area of the region of the spot detected. Also disclosed is a repellent evaluation device including an acquire, a classifier, a detector and an evaluator.