Abstract
A new method for skeleton extraction based on vector inner product was presented in order to improve the accuracy and connectivity.Euclidean distance transform is used to determine the nearest edge element for each pixel in a binary image.A vector from each pixel that stops at the nearest edge element is defined as edge vector.By comparing the inner product of edge vector within 8-neighborhood of the pixel,the number of significant changes in direction can be determined,and the candidate skeleton points can be selected according to it.Finally,a complete skeleton was generated by extending process based on regression analysis.Experimental results show that the algorithm can guarantee connectivity and integrity of the skeleton,and the average accuracy rate of location reached 92.27%.It also has advantages in reflecting the topological structures of objects and overcoming boundary disturbance.So,it is an effective skeleton extraction algorithm.
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