Vision testing for high-precision, automated image feature extraction Elliptic needs, the characteristics of a Class of Elliptic Automatic Identification and central sub-pixel positioning methods full implementation. Methods based on the type of property on the edge of the characteristics of an oval region of automatic identification, using least squares ellipse fitting precision to strike a class of elliptic center sub-pixel positioning. The experimental results show that based on the solution, you can realize the characteristics of Class of Elliptic Automatic Identification and oval center sub-pixel positioning, high precision positioning algorithm robustness, and user-friendly and does not require human-computer interaction can be well Vision testing instruments to meet the needs.

类椭圆特征自动识别及亚像素提取的完整实现.pdf

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