Circle Fitting-Based Method for Spot Center Localization
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This article presents a circle fitting-based method for spot center localization that has been thoroughly validated and tested, making it suitable for immediate implementation. The key advantage of this approach lies in its ability to achieve high-precision center localization while maintaining excellent adaptability to spots of varying shapes and sizes. We provide detailed implementation steps and algorithmic principles, including explanations of key functions such as least-squares fitting for circle parameter estimation and edge detection preprocessing. The method typically involves extracting spot boundaries through image thresholding or edge detection algorithms, followed by applying a circle fitting algorithm to determine the center coordinates (x₀, y₀) and radius r. This article aims to help readers better understand and apply circle fitting-based spot center localization techniques in practical computer vision and image processing applications.
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