Multiple linear feature detection through top-hat transform by using multi linear structuring elements

A multiple linear feature detection algorithm through top-hat transform using the constructed multiple linear structuring elements is proposed in this paper. The desired linear features are treated as a set. And, the set is divided into different subsets. Multi linear structuring elements corresponding to different subsets are constructed. After that, top-hat transform is performed by using the constructed linear structuring elements, and the results are combined to reconstruct the desired linear features. Then, the extracted linear features are binarized and processed to form the final detected binary linear features. Because of the effective performance of the top-hat transform using the constructed multi linear structuring elements, the linear features of different images from different applications could be well detected. The analysis and experimental results show that, the proposed algorithm could be well used for multiple linear feature detection in different applications.