The edge detection of river model based on self-adaptive Canny Algorithm and connected domain segmentation
Jianjun Zhao, Heng Yu, Xiaoguang Gu, Sheng Wang · 2010
An image edge detection method of river regime is presented for river model images. This method of self-adaptive thresholding Canny edge detection can extracts the edges of river regime automatically. It not only inherits the advantages of traditional Canny Algorithm, but also uses the improved maximum variance ratio method to calculate the values of Canny gradient threshold self-adaptively. And on this basis, morphological connected domain segmentation be used to suppress the interference edge of the image. This method achieves the automatic identification and extraction of river regime of the model. Tests showed that proposed algorithm has good robustness and high extraction precision, so that the next step of width measurement will be easier and preciser.