Pressed Numbers Edge Detection of an Improved Canny Algorithm
Edge detection is the base of image segmentation,feature extraction and image understanding. In this paper,the traditional Canny edge detection algorithm's strengths and weaknesses are studied and an threshold-adaptable Canny operator is proposed. In new method,Scale factor of Gaussian filter is calculated at the same time smoothing image and the high and low threshold values are obtained by OTSU algorithm. The experimental results show that this algorithm can get edge information of pressed number without the necessity to setup any parameter artificially and detection, and can restrain noise. The obtained edge using the above mentioned method, which is more effective than traditional Canny edge detection algorithms has good connectivity and suppresses the noise well.
NETL
NSTL
万方数据
维普
