Design and Evaluation of an Image Processing Based Algorithm for Shape Reconstruction and Real-Time Measurement of Geometrical Dimensions of Anthurium Flower

Document Type : Research Paper

Authors

1 College of Aburaihan, University of Tehran, Tehran, Iran

2 Agrotechnology Dept, Aboreihan college,Tehran university,Tehran,Iran

Abstract

Reconstructing an object as a set of points or a polynomial curve in a Cartesian coordinate system provides automatic recognition of the object key points. So, it is possible to obtain geometrical key-points in a short time and without the operator. In this research, a new algorithm was developed to reconstruction and recognition of key points of Anthurium flowers. Image processing techniques, B-spline curves and mathematical operations are used for boundary extraction, shape reconstruction and key-points detection. The results showed that the degree of similarity between reconstructed shape and original image shape for three cultivars of Anthurium flower is 97.6%, averagely. The processing time of the algorithm was 0.62s for optimum B-spline knot number. Also, in all tests, the two key-points defined for the shape of Anthurium flower have been accurately detected and estimation error for measuring the geometrical dimensions of Anthurium flower using the algorithm was less than 3%.

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Main Subjects


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